KDD2016,Accepted Papers
RESEARCH TRACK PAPERS - ORAL
| Title & Authors |
|---|
| NetCycle: Collective Evolution Inference in Heterogeneous Information Networks Author(s): Yizhou Zhang*, Fudan University; Xiong Yun, ; Xiangnan Kong, Worcester Polytechnic Institute; Yangyong Zhu, Fudan University |
| Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data Author(s): Payam Siyari*, Georgia Institute of Technology; Bistra Dilkina, Georgia Tech; Constantine Dovrolis, Georgia Institute of Technology |
| Skinny-dip: Clustering in a Sea of Noise Author(s): Samuel Maurus*, Helmholtz Zentrum München; Claudia Plant |
| Goal-Directed Inductive Matrix Completion Author(s): Si Si*, Ut austin; Kai-Yang Chiang, UT Austin; Cho-Jui Hsieh, UT Austin; Nikhil Rao, Technicolor Research; Inderjit Dhillon, UTexas |
| Sampling of Attributed Networks From Hierarchical Generative Models Author(s): Pablo Robles Granda*, Purdue University; Sebastian Moreno, ; Jennifer Neville, Purdue |
| Joint Community and Structural Hole Spanner Detection via Harmonic Modularity Author(s): Lifang He*, ; CHUN-TA LU, UIC; Jiaqi Ma, Tsinghua University; Jianping Cao, NUDT; Linlin Shen, ; Philip S. Yu, UI Chicago |
| Privacy-preserving Class Ratio Estimation Author(s): Arun Iyer*, ; Saketh Nath, IIT Bombay; Sunita Sarawagi, IIT Bombay |
| Structured Doubly Stochastic Matrix for Graph Based Clustering Author(s): Xiaoqian Wang, Univ. of Texas at Arlington; Feiping Nie, University of Texas at Arlington; Heng Huang*, Univ. of Texas at Arlington |
| Approximate Personalized PageRank on Dynamic Graphs Author(s): Hongyang Zhang*, Stanford University; Peter Lofgren, Stanford University |
| Assessing Human Error Against a Benchmark of Perfection Author(s): Ashton Anderson*, Stanford University; Jon Kleinberg, Cornell University; Sendhil Mullainathan, Harvard |
| Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning Author(s): Yue Ning*, Virginia Tech; Sathappan Muthiah, Virginia Tech; Huzefa Rangwala, George Mason University; Naren Ramakrishnan, Virginia Tech |
| Smart Reply: Automated Response Suggestion for Email Author(s): Anjuli Kannan, ; Karol Kurach*, Google; Sujith Ravi, Google; Tobias Kaufmann, Google, Inc.; Andrew Tomkins, ; Balint Miklos, Google, Inc.; Greg Corrado, ; László Lukács, ; Marina Ganea, ; Peter Young, ; Vivek Ramavajjala |
| Efficient Frequent Directions Algorithm for Sparse Matrices Author(s): Mina Ghashami*, University of utah; Edo Liberty, Yahoo ; Jeff Phillips, School of Computing, University of Utah |
| Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective Author(s): Tong Xu*, USTC; Hengshu Zhu, Baidu Inc.; Xiangyu Zhao, USTC; Hao Zhong, Rutgers University; Qi Liu, University of Science and Technology of China; Enhong Chen, ; Hui Xiong, Rutgers |
| Robust Extreme Multi-label Learning Author(s): Chang Xu*, Peking University; Dacheng Tao, University of Technology Sydney; Chao Xu, Peking University |
| The Limits of Popularity-Based Recommendations, and the Role of Social Ties Author(s): Marco Bressan*, Sapienza University of Rome; Stefano Leucci, Sapienza University of Rome; Alessandro Panconesi, Sapienza University of Rome; Prabhakar Raghavan, Google; Erisa Terolli, Sapienza University of Rome |
| Communication Efficient Distributed Kernel Principal Component Analysis Author(s): Yingyu Liang*, Princeton University; Bo Xie, ; David Woodruff, IBM Research; Le Song, ; Maria-Florina Balcan, |
| Come-and-Go Patterns of Group Evolution: A Dynamic Model Author(s): Tianyang Zhang*, Tsinghua University; Peng Cui, Tsinghua University; Christos Faloutsos, Carnegie Mellon University; Wenwu Zhu, Tsinghua University; Shiqiang Yang, |
| Revisiting Random Binning Feature: Fast Convergence and Strong Parallelizability Author(s): Lingfei Wu*, College of William and Mary; En-Hsu Yen, University of Texas at Austin; Jie Chen, IBM Research; Rui Yan, Baidu Inc. |
| GMove: Group-Level Mobility Modeling using Geo-Tagged Social Media Author(s): Chao Zhang*, UIUC; Keyang Zhang, ; Quan Yuan, University of Illinois Urbana-; Luming Zhang, ; Tim Hanratty, ; Jiawei Han, University of Illinois at Urbana-Champaign |
| Just One More: Modeling Binge Watching Behavior Author(s): William Trouleau, EPFL; Azin Ashkan*, Technicolor; Weicong Ding, Technicolor Research; Brian Eriksson, Technicolor |
| Inferring Network Effects from Observational Data Author(s): David Arbour*, University of Massachusetts Am; Dan Garant, University of Massachusetts Amherst; David Jensen, UMass Amherst |
| Robust Large-Scale Machine Learning in the Cloud Author(s): Steffen Rendle*, Google; Dennis Fetterly, Google, Inc.; Eugene Shekita, Google, Inc.; Bor-Yiing Su, Google, Inc. |
| Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems Author(s): Igor Melnyk*, University of Minnesota; Arindam Banerjee, University of Minnesota; Bryan Matthews, Nasa Ames Research Center; Nikunj Oza, Nasa Ames Research Center |
| Partial Label Learning via Feature-Aware Disambiguation Author(s): Min-Ling Zhang*, Southeast University; Binbin Zhou, Southeast University; Xu-Ying Liu, Southeast University |
| A Subsequence Interleaving Model for Sequential Pattern Mining Author(s): Jaroslav Fowkes*, University of Edinburgh; Charles Sutton, University of Edinburgh |
| Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification Author(s): Lei Han*, Rutgers University; Yu Zhang, Hong Kong University of Science and Technology; Xiu-Feng Wan, Mississippi State University; Tong Zhang, Rutgers University |
| XGBoost: A Scalable Tree Boosting System Author(s): Tianqi Chen*, University of washington; Carlos Guestrin, Dato/Univ of Washington |
| FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks Author(s): Chen Chen*, Arizona State Unversity; Hanghang Tong, Arizona State University; Lei Xie, City University of New York; Lei YIng, Arizona State University; Qing He, Arizona State University |
| Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs Author(s): Emaad Manzoor, Stony Brook University; Leman Akoglu*, SUNY Stony Brook |
| Structural Neighborhood based Classification of Nodes in a Network Author(s): Sharad Nandanwar*, Indian Institute of Science; Musti Narasimha Murty, Indian Institute of Science |
| Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams Author(s): Hesam Amoualian*, University Grenoble Alps; Marianne Clausel, University of Grenoble Alps; Eric Gaussier, University of Grenoble Alps; Massih-Reza Amini, University of Grenoble Alps |
| Continuous Experience-aware Language Model Author(s): Subhabrata Mukherjee*, Max Planck Informatics; Stephan Günnemann, Technical University of Munich; Gerhard Weikum, Max Planck Institute for Informatics |
| Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilari Author(s): Ting Kai Ming*, Federation University; YE ZHU, Monash University; Mark Carman, Monash University; Yue Zhu, Nanjing University |
| “Why Should I Trust you?” Explaining the Predictions of Any Classifier Author(s): Marco Tulio Ribeiro*, University of Washington; Sameer Singh, """University of Washington, Seattle"""; Carlos Guestrin, Dato/Univ of Washington |
| Graph Wavelets via Sparse Cuts Author(s): Arlei Lopes da Silva*, UC, Santa Barbara; Xuan-Hong Dang, UCSB; Prithwish Basu, Raytheon BBN; Ambuj Singh, UCSB; Ananthram Swami, Army Lab |
| Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization Author(s): Junming Liu, Rutgers University; Leilei Sun, ; Hui Xiong*, Rutgers; Weiwei Chen, |
| A multiple test correction for streams and cascades of statistical hypothesis tests Author(s): Geoff Webb*, Monash University; Francois Petitjean, Monash |
| Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detectio Author(s): Hao Hu, University of Central Florida; Joey Velez-Ginorio, University of Central Florida; Guojun Qi*, University of Central Florida |
| Unified Point-of-Interest Recommendation with Temporal Interval Assessment Author(s): Yanchi Liu*, Rutgers University; Chuanren Liu, Drexel University; Bin Liu, Rutgers University; Meng Qu, Rutgers University; Hui Xiong, Rutgers |
| Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches Author(s): Daniel Ting*, Facebook |
| TRIEST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size Author(s): Lorenzo De Stefani*, Brown University; Alessandro Epasto, Brown; Matteo Riondato, Two Sigma Investments; Eli Upfal, Brown University |
| ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages Author(s): Matteo Riondato*, Two Sigma Investments; Eli Upfal, Brown University |
| Annealed Sparsity via Adaptive and Dynamic Shrinking Author(s): Kai Zhang*, NEC labs America; Shandian Shan, Purdue University; Zhengzhang Chen, NEC Lab America; Chaoran Cheng, New Jersey Institute of Technology; Zhi Wei, New Jersey Institute of Technology; Guofei Jiang, NEC labs America; Jieping Ye, |
| QUINT: On Query-Specific Optimal Networks Author(s): Liangyue Li*, Arizona State University; Yuan Yao, Nanjing University; Jie Tang, Tsinghua University; Wei Fan, Baidu; Hanghang Tong, Arizona State University |
| Point-of-Interest Recommendations: Learning Potential Check-ins from Friends Author(s): Yong Ge, UNC Charlotte; Huayu Li*, University of North Carolina a; Hengshu Zhu, Baidu Inc. |
| FINAL: Fast Attributed Network Alignment Author(s): Si Zhang*, Arizona State University; Hanghang Tong, Arizona State University |
| Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations Author(s): Wei Cheng*, NEC Labs America; Kai Zhang, NEC labs America; Haifeng Chen, NEC Research Lab; Guofei Jiang, NEC labs America; Wei Wang, UC Los Angeles |
| Predicting Matchups and Preferences in Context Author(s): Shuo Chen*, Cornell; Thorsten Joachims, Cornell University |
| Accelerating Online CP Decompositions for Higher Order Tensors Author(s): Shuo Zhou*, University of melbourne; Nguyen Vinh, University of Melbourne; James Bailey, ; Yunzhe Jia, University of Melbourne; Ian Davidson, University of California-Davis |
| Compact and Scalable Graph Neighborhood Sketching Author(s): Takuya Akiba*, NII; Yosuke Yano, National Institute of Informatics |
| Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns Author(s): Roel Bertens*, Universiteit Utrecht; Jilles Vreeken, Max-Planck Institute for Informatics and Saarland University; Arno Siebes, |
| Robust Influence Maximization Author(s): Xinran He*, University of Southern California; David Kempe, University of Southern California |
| DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks Author(s): Shuangfei Zhai*, Binghamton University; Keng-hao Chang, Microsoft; Ruofei Zhang, Microsoft; Zhongfei Zhang, |
| When Social Influence Meets Item Inference Author(s): Hui-Ju Hung, Pennsylvania State University; Hong-Han Shuai, Academia Sinica; De-Nian Yang*, Academic Sinica; Liang-Hao Huang, Academia Sinica; Wang-Chien Lee, The Pennsylvania State University; Jian Pei, Simon Fraser University; Ming-Syan Chen, National Taiwan University |
| PTE: Enumerating Trillion Triangles On Distributed Systems Author(s): Ha-Myung Park*, KAIST; Sung-Hyon Myaeng, KAIST; U Kang, Seoul National University |
| Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applic Author(s): Himanshu Jain*, IIT Delhi; Yashoteja Prabhu, ; Manik Varma, |
| Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences Author(s): Yasuko Matsubara*, Kumamoto University; Yasushi Sakurai, Kumamoto University |
| node2vec: Scalable Feature Learning for Networks Author(s): Aditya Grover*, Stanford University; Jure Leskovec, Stanford University |
| Structural Deep Network Embedding Author(s): DAIXIN WANG*, TSINGHUA UNIVERSITY; Peng Cui, Tsinghua University; Wenwu Zhu, Tsinghua University |
| Mining Subgroups with Exceptional Transition Behavior Author(s): Florian Lemmerich*, Gesis; Martin Becker, University of Würzburg; Philipp Singer, Gesis; Denis Helic, TU Graz; Andreas Hotho, University of Wuerzburg; Markus Strohmaier, |
| Asymmetric Transitivity Preserving Graph Embedding Author(s): Mingdong Ou*, Tsinghua University; Peng Cui, Tsinghua University; Jian Pei, Simon Fraser University; Wenwu Zhu, Tsinghua University |
| AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets Author(s): Son Mai*, Aarhus University; Ira Assent, ; Martin Storgaard, Aarhus University |
| CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors Author(s): Meng Jiang*, UIUC; Christos Faloutsos, Carnegie Mellon University; Jiawei Han, University of Illinois at Urbana-Champaign |
| Dynamic Clustering of Streaming Short Documents Author(s): Shangsong Liang*, University College London; Emine Yilmaz, University College London; Evangelos Kanoulas, University of Amsterdam |
| FRAUDAR: Bounding Graph Fraud in the Face of Camouflage Author(s): Bryan Hooi*, Carnegie Mellon University; Hyun Ah Song, Carnegie Mellon University; Alex Beutel, Carnegie Mellon University; Neil Shah, Carnegie Mellon University; Kijung Shin, Carnegie Mellon University; Christos Faloutsos, Carnegie Mellon University |
| Towards Conversational Recommender Systems Author(s): Konstantina Christakopoulou*, University of Minnesota; Katja Hofmann, Microsoft; Filip Radlinski, Microsoft |
| Robust Influence Maximization Author(s): Wei Chen, Microsoft Research; Tian Lin*, Tsinghua University; Zihan Tan, IIIS, Tsinghua University; Mingfei Zhao, IIIS, Tsinghua University; Xuren Zhou, The Hong Kong University of Science and Technology |
| Positive-Unlabeled Learning in Streaming Networks Author(s): Shiyu Chang*, UIUC; Yang Zhang, UIUC; Jiliang Tang, Yahoo Labs; Dawei Yin, ; Yi Chang, Yahoo! Labs; Mark Hasegawa-Johnson, UIUC; Thomas Huang, UIUC |
| Targeted Topic Modeling for Focused Analysis Author(s): Shuai Wang*, University of Illinois at Chicago; Zhiyuan Chen, UIC; Geli Fei, Univ of Illinois at Chicago; Bing Liu, Univ of Illinois at Chicago; Sherry Emery, University of Illinois at Chicago |
RESEARCH TRACK PAPERS - POSTER
| Title & Authors |
|---|
| Online Feature Selection: A Limited-Memory Substitution Algorithm and its Asynchronous Parallel Vari Author(s): Haichuan Yang*, University of Rochester; Ryohei Fujimaki, NEC Laboratories America; Yukitaka Kusumura, NEC lab; Ji Liu, University of Rochester |
| Topic Modeling of Short Texts: A Pseudo-Document View Author(s): Yuan Zuo*, Beihang University; Junjie Wu, ; Has Lin, ; Hui Xiong, Rutgers |
| Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Desi Author(s): Igor Labutov*, Cornell University |
| Online Context-Aware Recommendation with Time Varying Multi-Arm Bandit Author(s): Chunqiu Zeng*, Florida International University; Qing Wang, Florida International Univ.; Tao Li, Florida International Univ; Shekoofeh Mokhtari, Florida International University |
| Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising Author(s): Miguel Angel Alcobendas Lisbona*, Yahoo Inc; Kuang-chih Lee, Yahoo; Sheide Chammas, Yahoo |
| Improving Survey Aggregation with Sparsely Represented Signals Author(s): Tianlin Shi, Stanford University; Forest Agostinelli*, Univ of California - Irvine; Matthew Staib, MIT; David Wipf, Microsoft Research; Thomas Moscibroda, Microsoft Research |
| Recurrent Marked Temporal Point Processes: Embedding Event History to Vector Author(s): NAN DU*, GEORGIA TECH; Hanjun Dai, ; Rakshit Trivedi, ; Utkarsh Upadhyay, Max Plank Institute; Manuel Gomez-Rodriguez, MPI-SWS; Le Song, |
| Interpretable Decision Sets: A Joint Framework for Description and Prediction Author(s): Himabindu Lakkaraju*, Stanford University; Stephen Bach, Stanford University; Jure Leskovec, Stanford University |
| How to Compete Online for News Audience: Modeling Words that Attract Clicks Author(s): Joon Hee Kim*, KAIST; Amin Mantrach, Yahoo! Research; Alex Jaimes, Yahoo!; Alice Oh, Korea Advanced Institute of Science and Technology |
| Towards Robust and Versatile Causal Discovery for Business Applications Author(s): Giorgos Borboudakis*, University of Crete; Ioannis Tsamardinos, |
| A Closed-Loop Approach in Data-Driven Resource Allocation to Improve Network User Experience Author(s): Yanan Bao*, University of California, Davi; Huasen Wu, UC Davis; Xin Liu, UC Davis |
| Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression Author(s): Zhi Nie*, Arizona State University; Pinghua Gong, ; Jieping Ye, University of Michigan at Ann Arbor |
| Scalable Betweenness Centrality Maximization via Sampling Author(s): Ahmad Mahmoody*, Brown University; Eli Upfal, Brown University; Charalampos Tsourakakis, Harvard |
| Smart broadcasting: Do you want to be seen? Author(s): Erfan Tavakoli, Sharif University; Mohammad Reza Karimi, Sharif University; Mehrdad Farajtabar, Georgia Tech; Le Song, ; Manuel Gomez-Rodriguez*, MPI-SWS |
| Squish: Near-Optimal Compression for Archival of Relational Datasets Author(s): Yihan Gao*, University of Illinois; Aditya Parameswaran, |
| Data-driven Automatic Treatment Regimen Development and Recommendation Author(s): Leilei Sun*, Dalian University of Technolog; Chuanren Liu, Drexel University; Chonghui Guo, ; Hui Xiong, Rutgers; Yanming Xie, |
| Reconstructing an Epidemic over Time Author(s): Polina Rozenshtein, Aalto University; Aristides Gionis*, Aalto University; B. Aditya Prakash, Virginia Tech; Jilles Vreeken, Max-Planck Institute for Informatics and Saarland University |
| Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices Author(s): Yasuo Tabei*, JST; Hiroto Saigo, Kyushu Institute of Technology; Yoshihiro Yamanishi, Kyushu University; Simon Puglisi, Helsinki University |
| The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation Author(s): BEIDOU WANG*, Simon Fraser University; Martin Ester, Simon Fraser University; Yikang Liao, Zhejiang University; Jiajun Bu, Zhejiang University; Yu Zhu, Zhejiang University; Deng Cai, ; Ziyu Guan, |
| Compressing Graphs and Indexes with Recursive Graph Bisection Author(s): Laxman Dhulipala, Carnegie Mellon University; Igor Kabiljo, Facebook; Brian Karrer, Facebook; Giuseppe Ottaviano, Facebook; Sergey Pupyrev*, Facebook; Alon Shalita, Facebook |
| Portfolio Selections in P2P Lending: A Multi-Objective Perspective Author(s): Hongke Zhao*, USTC; Guifeng Wang, USTC; Yong Ge, UNC Charlotte; Qi Liu, University of Science and Technology of China; Enhong Chen, |
| Latent Space Model for Road Networks to Predict Time-Varying Traffic Author(s): Dingxiong Deng*, USC; Cyrus Shahabi, USC; Ugur Demiryurek, ; Linhong Zhu, ; Rose Yu, University of Southern Cal; Yan Liu, |
| Parallel Lasso Screening for Big Data Optimization Author(s): Qingyang Li*, Arizona State University; Shuang Qiu, Umich; Shuiwang Ji, Washington State University; Jieping Ye, University of Michigan at Ann Arbor; Jie Wang, University of Michigan |
| Lossless Separation of Web Pages into Layout Code and Data Author(s): Adi Omari*, Technion; Benny Kimelfeld, Technion; Sharon Shoham, Academic College of Tel Aviv Yaffo; Eran Yahav, Technion |
| A Multi-Task Learning Formulation for Survival Analysis Author(s): Yan Li*, Wayne State University; Jie Wang, University of Michigan; Jieping Ye, University of Michigan at Ann Arbor; Chandan Reddy, Wayne State University |
| Scalable Pattern Matching over Compressed Graphs via Dedensification Author(s): Antonio Maccioni*, Roma Tre University; Daniel Abadi, Yale University |
| Finding Gangs in War from Signed Networks Author(s): Lingyang Chu*, Simon Fraser University; Zhefeng Wang, University of Science and Technology of China; Jian Pei, Simon Fraser University; Jiannan Wang, Simon Fraser University; Zijin Zhao, Simon Fraser University; Enhong Chen, |
| Online Asymmetric Active Learning with Imbalanced Data Author(s): Xiaoxuan Zhang*, University of Iowa; Tianbao Yang, Univ of Iowa; Padmini Srinivasan, University of Iowa |
| Robust and Effective Metric Learning Using Capped Trace Norm Author(s): Zhouyuan Huo, University of Texas, Arlington; Feiping Nie, University of Texas at Arlington; Heng Huang*, Univ. of Texas at Arlington |
| Burstiness Scale: a highly parsimonious model forcharacterizing random series of events Author(s): Rodrigo Alves*, CEFET-MG; Renato Assunção, DCC-UFMG; Pedro O.S. Vaz de Melo, DCC-UFMG |
| Fast Component Pursuit for Large-Scale Inverse Covariance Estimation Author(s): Lei Han*, Rutgers University; Yu Zhang, Hong Kong University of Science and Technology; Tong Zhang, Rutgers University |
| Unbounded Human Learning: Optimal Scheduling for Spaced Repetition Author(s): Siddharth Reddy*, Cornell University; Igor Labutov, Cornell University; Siddhartha Banerjee, Cornell University; Thorsten Joachims, Cornell University |
| User Identity Linkage by Latent User Space Modelling Author(s): Xin Mu*, Nanjing University; Feida Zhu, Singapore Management Univ.; Zhi-Hua Zhou, ; Ee-Peng Lim, Singapore Management University; Jing Xiao, ; Jianzong Wang, |
| Diversified Temporal Subgraph Pattern Mining Author(s): Yi Yang, Fudan University; Da Yan, CUHK; Huanhuan Wu, CUHK; James Cheng*, CUHK; Shuigeng Zhou, Fudan University; John C.S. Lui, The Chinese University of Hong Kong |
| Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting Author(s): Liang Zhao*, VT; Jieping Ye, University of Michigan at Ann Arbor; Feng Chen, SUNY Albany; Chang-Tien Lu, Virginia Tech; Naren Ramakrishnan, Virginia Tech |
| MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories Author(s): Prithu Banerjee*, UBC; Pranali Yawalkar, IIT Madras; Sayan Ranu, IIT Madras |
| FUSE: Full Spectral Clustering Author(s): Wei Ye*, University of Munich; Sebastian Goebl, University of Munich; Claudia Plant, ; Christian Boehm, University of Munich |
| Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining Author(s): Kazuya Nakagawa, Nagoya Institute of Technology; Shinya Suzumura, Nagoya Institute of Technology; Masayuki Karasuyama, ; Koji Tsuda, University of Tokyo; Ichiro Takeuchi*, Nagoya Institute of Technology Japan |
| Probabilistic Robust Route Recovery with Spatio-Temporal Dynamics Author(s): Hao Wu, Fudan University; Jiangyun Mao, Fudan University; Weiwei Sun*, Fudan University; Baihua Zheng, Singapore Management University; Hanyuan Zhang, Fudan University; Ziyang Chen, Fudan University; Wei Wang, Fudan University |
| A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm Author(s): Yanni Li, Xidian University; Hui Li*, Xidian University; Tihua Duan, Shanghai Finance University; Sheng Wang, Coventry University; Zhi Wang, Xidian University; Yang Cheng, Xidian University |
| A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization Author(s): Jianhua Yin*, Tsinghua University; Jianyong Wang, |
| Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations Author(s): Bo Kang*, Ghent University; Jefrey Lijffijt, Ghent University; Raul Santos-Rodriguez, University of Bristol; Tijl De Bie, Ghen University |
| Compressing Convolutional Neural Networks in the Frequency Domain Author(s): Wenlin Chen*, Washington University; James Wilson, University of Edinburgh; Stephen Tyree, NVIDIA; Kilian Weinberger, Cornell; Yixin Chen, |
| Causal Clustering for 1-Factor Measurement Models Author(s): Erich Kummerfeld*, University of Pittsburgh; Joseph Ramsey, Carnegie Mellon University |
| From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Ap Author(s): Mengting Wan*, UC San Diego; Xiangyu Chen, University of Illinois, Urbana-Champaign; Lance Kaplan, U.S. Army Research Laboratory; Jiawei Han, University of Illinois at Urbana-Champaign; Jing Gao, ; Bo Zhao, LinkedIn |
| Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test Author(s): Denis Dos Reis*, Universidade de São Paulo; Gustavo Batista, Universidade de Sao Paulo at Sao Carlos; Peter Flach, University of Bristol; Stan Matwin, Dalhousie University |
| Learning Cumulatively to Become More Knowledgeable Author(s): Geli Fei*, Univ of Illinois at Chicago; Shuai Wang, Univ of Illinois at Chicago; Bing Liu, Univ of Illinois at Chicago |
| Multi-Task Feature Interaction Learning Author(s): KAIXIANG LIN*, Michigan State University; Jianpeng Xu, Michigan State University; Shuiwang Ji, Washington State University; Jiayu Zhou, Michigan State University |
| City-Scale Map Creation and Updating using GPS Collections Author(s): Chen Chen*, Stanford University; Cewu Lu, Stanford University; Qixing Huang, Stanford University; Dimitrios Gunopulos, ; Leonidas Guibas, Stanford University; Qiang Yang, HKUST |
| Stochastic Optimization Techniques for Quantification Performance Measures Author(s): Harikrishna Narasimhan, IACS, Harvard University; Shuai Li, University of Insubria; Purushottam Kar*, IIT Kanpur; Sanjay Chawla, QCRI-HBKU, Qatar; Fabrizio Sebastiani, QCRI-HBKU, Qatar |
| Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach Author(s): Houping Xiao*, SUNY Buffalo; Jing Gao, ; Qi Li, SUNY Buffalo; Fenglong Ma, SUNY Buffalo; Lu Su, SUNY Buffalo; Yunlong Feng, KU Leuven; Aidong Zhang, |
| Transfer Knowledge between Cities Author(s): Ying Wei*, Hong Kong Univ. of Sci. & Tech; Yu Zheng, Microsoft Research; Qiang Yang, HKUST |
| FLASH: Fast Bayesian Optimization for Data Analytic Pipelines Author(s): Yuyu Zhang*, Georgia Institute of Technolog; Mohammad Bahadori, Georgia Institute of Technology; Hang Su, Georgia Institute of Technology; Jimeng Sun, Georgia Institute of Technology |
| Effcient Processing of Network Proximity Queries via Chebyshev Acceleration Author(s): Mustafa Coskun*, Case Western University; Ananth Grama, ; Mehmet Koyuturk, |
| Absolute Fused Lasso and Its Application to Genome-Wide Association Studies Author(s): Tao Yang*, Arizona State University; Jun Liu, SAS Institute Inc.; Pinghua Gong, University of Michigan; Ruiwen Zhang, SAS Institute Inc.; Xiaotong Shen, University of Minnesota; Jieping Ye, University of Michigan at Ann Arbor |
| Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environm Author(s): Wei-Lin Chiang, National Taiwan University; Mu-Chu Lee, National Taiwan University; Chih-Jen Lin*, National Taiwan University |
| Beyond Sigmoids: the NetTide Model for Social Network Growth, and its Applications Author(s): Chengxi Zang*, Tsinghua University; Peng Cui, Tsinghua University; Christos Faloutsos, Carnegie Mellon University |
| Efficient Shift-Invariant Dictionary Learning Author(s): Guoqing Zheng*, Carnegie Mellon University; Yiming Yang, ; Jaime Carbonell, |
| Multi-layer Representation Learning for Medical Concepts Author(s): Edward Choi*, Georgia Institute of Technolog; Mohammad Bahadori, Georgia Institute of Technology; Jimeng Sun, Georgia Institute of Technology |
| Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding Author(s): Xiang Ren*, UIUC; Wenqi He, UIUC; Meng Qu, UIUC; Heng Ji, PRI; Clare Voss, ARL; Jiawei Han, University of Illinois at Urbana-Champaign |
| Distributing the Stochastic Gradient Sampler for Large-Scale LDA Author(s): Yuan Yang*, Beihang University; Jianfei Chen, Tsinghua University; Jun Zhu, |
| Lightweight Monitoring of Distributed Streams Author(s): Daniel Keren*, University of Haifa; Assaf Schuster, Technion; Arnon Lazerson, Israeli Institute of technology |
| Accelerated Stochastic Block Coordinate Descent with Optimal Sampling Author(s): Aston Zhang*, UIUC; Quanquan Gu, University of Virginia |
| Convex Optimization for Linear Query Processing under Approximate Differential Privacy Author(s): Ganzhao Yuan*, SCUT; Yin Yang, ; Zhenjie Zhang, ; Zhifeng Hao, |
| Predicting Socio-Economic Indicators using News Events Author(s): Sunandan Chakraborty*, NYU; Ashwin Venkataraman, New York University; Srikanth Jagabathula, New York University; Lakshminarayanan Subramanian, New York University |
| A Truth Discovery Approach with Theoretical Guarantee Author(s): Houping Xiao*, SUNY Buffalo; Jing Gao, ; Zhaoran Wang, Princeton University; Shiyu Wang, UIUC; Lu Su, SUNY Buffalo; Han Liu, Princeton University |
| Meta Structure: Computing Relevance in Large Heterogeneous Information Networks Author(s): Zhipeng Huang*, University of Hong Kong; Yudian Zheng, The University of Hong Kong; Reynold Cheng, ; Yizhou Sun, Northeastern Univ; Nikos Mamoulis, ; Xiang Li, The University of Hong Kong |
| Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay Author(s): Yu Shi*, UIUC; Myunghwan Kim, LinkedIn Corporation; Shaunak Chatterjee, LinkedIn Corporation; Mitul Tiwari, LinkedIn Corporation; Souvik Ghosh, LinkedIn; Romer Rosales, LinkedIn |
| Infinite Ensemble for Image Clustering Author(s): Hongfu Liu*, Northeastern University; Ming Shao, Northeastern University; Sheng Li, Northeastern University; Yun Fu, Northeastern University |
| Deep Visual-Semantic Hashing for Cross-Modal Retrieval Author(s): Yue Cao, Tsinghua university; Mingsheng Long*, Tsinghua University; Jianmin Wang, Tsinghua University; Qiang Yang, HKUST; Philip Yu, UIC |
| Collaborative Multi-View Denoising Author(s): Lei Zhang, Institute of Information Engin; Shupeng Wang, Iie; Xiao-Yu Zhang, IIE, CAS; Yong Wang, IIE,CAS; BinBin Li, Iie; Dinggang Shen, ; Shuiwang Ji*, Washington State University |
| Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with Stocko Author(s): Ben Letham*, Facebook; Lydia Letham, MIT; Cynthia Rudin, MIT |
APPLIED DATA SCIENCE TRACK PAPERS - ORAL
| Title & Authors |
|---|
| Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Author(s): Hyuna Pyo, NAVER LABS; Jung-Woo Ha*, NAVER LABS; Jeonghee Kim, NAVER LABS |
| Anomaly Detection Using Program Control Flow Graph Mining from Execution Logs Author(s): Animesh Nandi*, IBM Research; Atri Mandal, IBM Research; Shubham Atreja, IIT Kanpur; Gargi Dasgupta, IBM Research; Subhrajit Bhattacharya, IBM Research |
| Identifying Earmarks in Congressional Bills Author(s): Vrushank Vora*, Data Science for Social Good; Joe Walsh, Data Science for Social Good; Madian Khabasa, Microsoft ; Ellery Wulczyn, Wikimedia Foundation; Matthew Heston, Northwestern University; Rayid Ghani, University of Chicago; Chris Berry, University of Chicago |
| Predictors without Borders: Behavioral Modeling of Product Adoption in Three Developing Countries Author(s): Muhammad Khan, University of Washington; Joshua Blumenstock*, University of Washington |
| EMBERS at 4 years:Experiences operating an Open Source Indicators Forecasting System Author(s): Sathappan Muthiah*, Virginia Tech; Naren Ramakrishnan, Virginia Tech; Patrick Butler, Virginia Tech; Rupinder Khandpur, Virginia Tech; PARANG SARAF, VIRGINIA TECH; Anil Vullikanti, Virginia Tech; Achla Marathe, Virginia Tech; Graham Katz, CACI; Andrew Doyle, CACI; Jaime Arredondo, UCSD; Dipak Gupta, SDSU; David Mares, UCSD; Jose Cadena, Virginia Tech; Liang Zhao, VT; Nathan Self, ; Alla Rozovskaya, Virginia Tech; Kristen Summers, IBM |
| Minimizing Legal Exposure for High-Tech Companies through Collaborative Filtering Methods Author(s): Bo Jin*, Dalian University of Technology; Chao Che, Dalian University; Kuifei Yu, Zhigu Inc.; Yue Qu, Dalian University of Technology; Li Guo, Dalian University of Technology; Cuili Yao, Dalian University of Technology |
| Identifying Decision Makers from Professional Social Networks Author(s): Shipeng Yu*, LinkedIn; Evangelia Christakopoulou, University of Minnesota; Abhishek Gupta, LinkedIn |
| Batch model for batched timestamps data analysis with application to the SSA disability program Author(s): Qingqi Yue*, NIH; Ao Yuan, NIH; Xuan Che, NIH; Elizabeth Rasch, NIH; Minh Huynh, Impaq; Chunxiao Zhou, NIH |
| A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines Author(s): Yijun Zhao*, Tufts University; Bilal Ahmed, Tufts; Carla Brodley, Northeastern University; Jennifer Dy, NEU |
| Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features Author(s): Ying Shan*, Microsoft Corporation; Thomas Hoens, Microsoft; Jian Jiao, Microsoft Corporation; Haijing Wang, Microsoft Corporation; Dong Yu, Microsoft Research; JC Mao, Microsoft Corporation |
| Evaluating Mobile App Release Author(s): Ya Xu*, LinkedIn Corporation; Nanyu Chen, LinkedIn Corporation |
| Designing Policy Recommendations to Reduce Home Abandonment in Mexico Author(s): Klaus Ackermann, Monash University; Eduardo Blancas Reyes*, The University of Chicago; Sue He, University of Virginia; Thomas Anderson Keller, UC San Diego; Paul van der Boor, Data Science for Social Good; Romana Khan, Data Science for Social Good; Rayid Ghani, University of Chicago |
| Ranking Universities Based on Career Outcomes of Graduates Author(s): Navneet Kapur (GoFundMe), Nikita Lytkin (LinkedIn Corporation), Bee-Chung Chen (LinkedIn Corporation), Deepak Agarwal (LinkedIn Corporation), Igor Perisic (LinkedIn Corporation) |
| Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned Author(s): Xiaolin Shi*, Yahoo Labs; Alex Deng, Microsoft |
| Predicting Disk Replacement towards Reliable Data Centers Author(s): Mirela Botezatu*, IBM Research; Ioana Giurgiu, IBM Research; Jasmina Bogojeska, IBM Research; Dorothea Wiesmann, IBM Research |
| Identifying Police Officers at Risk of Adverse Events Author(s): Samuel Carton, University of Michigan; Jennifer Helsby*, University of Chicago; Kenneth Joseph, Carnegie Mellon University; Ayesha Mahmud, Princeton University; Youngsoo Park, University of Arizona; Joe Walsh, University of Chicago; Crystal Cody, Charlotte-Mecklenburg Police Department; Estella Patterson, Charlotte-Mecklenburg Police Department; Lauren Haynes, University of Chicago; Rayid Ghani, University of Chicago |
| The Legislative Influence Detector: Finding Text Reuse in State Legislation Author(s): Matthew Burgess, University of Michigan; Eugenia Giraudy, YouGov; Julian Katz-Samuels, University of Michigan; Joe Walsh*, University of Chicago; Derek Willis, ProPublica; Lauren Haynes, University of Chicago; Rayid Ghani, University of Chicago |
| Question Independent Grading using Machine Learning: The Case of Computer Program Grading Author(s): Gursimran Singh*, Aspiring Minds; Shashank Srikant, ; Varun Aggarwal, |
| Developing a Data-Driven Player Ranking in Soccer using Predictive Model Weights Author(s): Joel Brooks*, Massachusetts Institute of Tec; Matthew Kerr, Massachusetts Institute of Technology; John Guttag, MIT |
| Aircraft Trajectory Prediction made easy with Predictive Analytics Author(s): Samet Ayhan*, University of Maryland; Hanan Samet, University of Maryland |
| An Engagement-Based Customer Lifetime Value System for E-commerce Author(s): Ali Vanderveld*, Groupon; Angela Han, Groupon; Addhyan Pandey, Groupon; Rajesh Parekh, |
| Email Volume Optimization at LinkedIn Author(s): Rupesh Gupta*, LinkedIn; Xiaoyu Chen, ; Guanfeng Liang, ; Romer Rosales, LinkedIn; Hsiao-Ping Tseng, ; Ravi Kiran Holur Vijay, |
| Online dual decomposition for performance and delivery-based distributed ad allocation Author(s): Jim Huang*, Amazon; Rodolphe Jenatton, Amazon; Cedric Archambeau, Amazon |
| An Empirical Study on Recommendation with Multiple Types of Feedback Author(s): Liang Tang*, LinkedIn Corp.; Bo Long, LinkedIn; Bee-Chung Chen, LinkedIn; Deepak Agarwal, LinkedIn |
| Recruitment Market Trend Analysis with Sequential Latent Variable Models Author(s): Chen Zhu*, Baidu hr; Hengshu Zhu, Baidu Inc.; Hui Xiong, Rutgers; ding pengliang, ; xie fang, |
| Boosted Decision Tree Regression Adjustment for Variance Reduction of Online Controlled Experiments Author(s): Alexey Poyarkov, Yandex; Alexey Drutsa*, Yandex; Andrey Khalyavin, Yandex; Gleb Gusev, Yandex; Pavel Serdyukov, Yandex |
| Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records Author(s): Bowen Du*, Beihang University; Chuanren Liu, Drexel University; Wenjun Zhou, U of Tennessee; Hui Xiong, Rutgers |
| Days on Market: Measuring Liquidity in Real Estate Markets Author(s): Hengshu Zhu*, Baidu Inc.; Hui Xiong, Rutgers; Fangshuang Tang, University of Science and Technology of China; Yong Ge, ; Qi Liu, University of Science and Technology of China; Enhong Chen, ; Yanjie Fu, Rutgers University |
| Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach Author(s): Mahsa Salehi*, IBM Australia; Laura Rusu, IBM Research; Timothy Lynar, IBM Research; Anna Phan, IBM Research |
| GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction Author(s): XianXing Zhang*, LinkedIn; Bee-Chung Chen, LinkedIn; Liang Zhang, LinkedIn; Yitong Zhou, LinkedIn Corporation; Yiming Ma, LinkedIn; Deepak Agarwal, LinkedIn |
| From Online Behaviors to Offline Retailing Author(s): Ping Luo*, Chinese Academy of Sciences |
| Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta Author(s): Michael Madaio, Carnegie Mellon University; Shang-Tse Chen*, Georgia Institute of Technology; Oliver Haimson, University of California, Irvine; Wenwen Zhang, Georgia Institute of Technology; Xiang Cheng, Emory University; Matthew Hinds-Aldrich, Atlanta Fire Rescue Department; Duen Horng Chau, Georgia Tech; Bistra Dilkina, Georgia Tech |
| Engagement Capacity and Engaging Team Formation for Reach Maximization of Online Social Media Platfo Author(s): Alexander Nikolaev*, University at Buffalo; Shounak Gore, University at Buffalo; Venu Govindaraju, University at Buffalo |
| Audience Expansion for Online Social Network Advertising Author(s): Haishan Liu*, LinkedIn Corporation; David Pardoe, LinkedIn Corporation; Kun Liu, LinkedIn Corporation |
| DopeLearning: A Computational Approach to Rap Lyrics Generation Author(s): Eric Malmi*, Aalto University; Pyry Takala, Aalto University; Hannu Toivonen, University of Helsinki; Tapani Raiko, Aalto University; Aristides Gionis, Aalto University |
| Ranking Relevance in Yahoo Search Author(s): Dawei Yin, Yahoo Labs; Yuening Hu, ; Jiliang Tang, Yahoo Labs; Tim Daly, yahoo; Mianwei Zhou, Yahoo Inc; Hua Ouyang, ; Jianhui Chen, Yahoo!; Changsung Kang, Yahoo Labs; Hongbo Deng, Yahoo!; Chikashi Nobata, ; Jean-Marc Langlois, ; Yi Chang*, Yahoo! Labs |
| Contextual Intent Tracking for Personal Assistants Author(s): Yu Sun*, University of Melbourne; Nicholas Jing Yuan, Microsoft Research; Yingzi Wang, Microsoft Research; Xing Xie, Microsoft Research; Kieran McDonald, Microsoft Corporation; Rui Zhang, University of Melbourne |
| Matrix Computations and Optimization in Apache Spark Author(s): Reza Zadeh*, Stanford University; Xiangrui Meng, ; Alexander Ulanov, ; Burak Yavuz, ; Li Pu, ; Shivaram Venkataraman, ; Evan Sparks, ; Aaron Staple, ; Matei Zaharia, |
| Repeat Buyer Prediction for E-Commerce Author(s): Guimei Liu*, ; Tam T. Nguyen, Institute for Infocomm Research; Gang Zhao, Development Bank of Singapore; Wei Zha, Institute for Infocomm Research; Jianbo Yang, General Electric; Jianneng Cao, Institute for Infocomm Research; Min Wu, Institute for Infocomm Research; Peilin Zhao, Institute for Infocomm Research, A*STAR; Wei Chen, Development Bank of Singapore |
| Collaborative Knowledge Base Embedding for Recommender Systems Author(s): Fuzheng Zhang*, Microsoft; Nicholas Jing Yuan, Microsoft Research; Defu Lian, ; Xing Xie, Microsoft Research; Wei-Ying Ma, |
APPLIED DATA SCIENCE TRACK PAPERS - POSTER
| Title & Authors |
|---|
| Convolutional Neural Networks for Steady Flow Approximation Author(s): Xiaoxiao Guo*, University of Michigan; Wei Li, Autodesk Research; Francesco Iorio, |
| EMBERS AutoGSR: Automated Coding of Civil Unrest Events Author(s): PARANG SARAF*, VIRGINIA TECH; Naren Ramakrishnan, Virginia Tech |
| Crime Rate Inference with Big Data Author(s): Hongjian Wang*, Penn State University; Zhenhui Li, Penn State Univ; Daniel Kifer, PSU; Corina Graif, Penn state university |
| Gemello: Creating a Detailed Energy Breakdown from just the Monthly Electricity Bill Author(s): Nipun Batra*, IIIT Delhi; Amarjeet Singh, ; Kamin Whitehouse, |
| When Recommendation Goes Wrong - Anomalous Link Discovery in Recommendation Networks Author(s): Bryan Perozzi*, Stony Brook University |
| Improving the Sensitivity of Online Controlled Experiments: Case Studies at Netflix Author(s): Huizhi Xie*, Netflix; Juliette Aurisset, Netflix |
| Talent Circle Detection in Job Transition Networks Author(s): Huang Xu*, Northwestern Polytechnical Uni; Jingyuan Yang, Rutgers University; zhi wen Yu, ; Hui Xiong, Rutgers; Hengshu Zhu, Baidu Inc. |
| Deploying Analytics with the Portable Format for Analytics (PFA) Author(s): Jim Pivarski, Open Data Group Inc.; Collin Bennett, Open Data Group Inc.; Robert Grossman*, University of Chicago |
| Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis Author(s): Xiang Li*, The University of Georgia; Milad Makkie, ; Binbin Lin, ; Mojtaba Sedigh Fazli, ; Ian Davidson, University of California-Davis; Jieping Ye, ; Tianming Liu, ; Shannon Quinn, |
| The Profile of an Online Purchaser: A Case Study of Pinterest Author(s): Caroline Lo*, Stanford University; Dan Frankowski, ; Jure Leskovec, Stanford University |
| Images Don’t Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to R Author(s): Corey Lynch, ; Kamelia Aryafar*, Etsy Inc.; Josh Attenberg, Etsy |
| Crystal:Employer Name Normalization in the Online Recruitment Industry Author(s): Qiaoling Liu, CareerBuilder; Faizan Javed*, CareerBuilder; Matt McNair, CareerBuilder |
| MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach Author(s): Bo An, ; Haipeng Chen, Nanyang Technological Universi; Noseong Park*, University of Maryland; V.S. Subrahmanian, Univ of Maryland |
| Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques Author(s): Jan Van Haaren*, KU Leuven; Horesh Ben Shitrit, PlayfulVision; Jesse Davis, KU Leuven; Pascal Fua, EPFL |
| Joint Optimization of Multiple Performance Metrics in Online Video Advertising Author(s): Sahin Geyik*, Turn Inc.; Sergey Faleev, Turn Inc.; Jianqiang Shen, Turn Inc.; Sean O'Donnell, Turn Inc.; Santanu Kolay, Turn Inc. |
| Singapore in Motion: insights on public transport service level through farecard and mobile data ana Author(s): Hasan Poonawala*, IBM; Vinay Kolar, IBM; Sebastien Blandin, IBM; Laura Wynter, IBM; Sambit Sahu, IBM |
| Detecting Devastating Diseases in Search Logs Author(s): John Paparrizos, Columbia University; Ryen White*, Microsoft; Eric Horvitz, Microsoft Research |
| How to Get Them a Dream Job? Author(s): Jia Li, University of Illinois at Chicago; Dhruv Arya, LinkedIn; Viet Ha-Thuc*, LinkedIn; Shakti Sinha, LinkedIn |
| Text Mining in Clinical Domain: Dealing with Noise. Author(s): Hoang Nguyen*, National ICT Australia; Jon Patrick, University of Sydney |
| Kam1n0: MapReduce-based Assembly Clone Search for Reverse Engineering Author(s): Steven H. H. Ding, McGill University; Benjamin C. M. Fung*, McGill University; Philippe Charland, Defence Research and Development Canada |
| CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Author(s): Fedor Borisyuk*, LinkedIn; Krishnaram Kenthapadi, LinkedIn Corporation; David Stein, LinkedIn Corporation; Bo Zhao, LinkedIn Corporation |
| Compute Job Memory Recommender System Using Machine Learning Author(s): Taraneh Taghavi*, Qualcomm Inc.; Maria Lupetini, Qualcomm Inc.; Yaron Kretchmer, Qualcomm Inc. |
| Domain adaptation in the absence of source domain data Author(s): Boris Chidlovskii*, XRCE; Stephane Clinchant, Xerox Research Centre Europe; Gabriela Csurka, Xerox Research Centre Europe |
| Computational Drug Repositioning Using Continuous Self-controlled Case Series Author(s): Zhaobin Kuang, UW-Madison; James Thomson, Morgridge Institute; Michael Caldwell, Marshfield Clinic; Peggy Peissig, ; Ron Stewart, Morgridge Institute; Page David*, University of Wisconsin |
| Scalable Time-Decaying Adaptive Prediction Algorithm Author(s): Yinyan Tan*, Huawei; Zhe Fan, ; Guilin Li, ; Fangshan Wang, ; Zhengbing Li, ; Shikai Liu, ; Qiuling Pan, ; Eric Xing, CMU; Qirong Ho, |
| Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising Author(s): Weinan Zhang*, University College London; Tianxiong Zhou, TukMob; Jun Wang, University College London; Jian Xu, TouchPal Inc |
KDD2016,Accepted Papers的更多相关文章
- KDD2015,Accepted Papers
Accepted Papers by Session Research Session RT01: Social and Graphs 1Tuesday 10:20 am–12:00 pm | Lev ...
- IEEE/ACM ASONAM 2014 Industry Track Call for Papers
IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2014 In ...
- Call for Papers IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM)
IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2014 In ...
- IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2014 Industry Track Call for Papers
IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2014 In ...
- 【深度学习Deep Learning】资料大全
最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online Books by Yoshua Bengio, Ian Goodfellow and Aaron C ...
- 2014 International Conference on Robotics and Computer Vision (ICRVC 2014)
2014机器人与计算机视觉国际会议ICRVC 与会地点:北京 与会时间:2014.10.24-26 截稿日期:2014-07-10 关于征稿: 语言:英文 主题: • Evolutionary Rob ...
- Author and Submission Instructions
This document contains information about the process of submitting a paper to NIPS 2014. You can als ...
- ECCV 2014 Results (16 Jun, 2014) 结果已出
Accepted Papers Title Primary Subject Area ID 3D computer vision 93 UPnP: An optimal O(n) soluti ...
- Recsys2018 music recomendation
http://www.recsyschallenge.com/2018/ January 2018 Release of the "One Million Playlists" d ...
随机推荐
- Tuxera ntfs软件如何删除干净
sudo /Library/Filesystems/fusefs_txantfs.fs/Contents/Resources/Support/uninstall-package.sh
- VS2012与windos版本不兼容问题
昨天晚上加完班,想着把windows更新下.今天上午就发现再运行VS报错了,提示VS2012与windows版本不兼容,打开.sln文件后,VS自动关闭.错误如下: 查看后网上提示安装VS2012的一 ...
- 在Linux下使用gcc运行C语言程序
Linux下使用最广泛的C/C++编译器是GCC,大多数的Linux发行版本都默认安装,不管是开发人员还是初学者,一般都将GCC作为Linux下首选的编译工具.本教程毫不犹豫地使用GCC来编译C程序. ...
- hibernate4多对多Use of @OneToMany or @ManyToMany targeting an unmapped class:
出错之后先查了一下,大家有 @Entity 导错包的,不过我这里没错 import javax.persistence.Entity; 就是这个 还有的是没有注解@Table的,我这里也是没问题的 我 ...
- java监控文件夹下的文件变化使用jnotify
https://blog.csdn.net/codepython/article/details/42341243?utm_source=blogxgwz1 使用jnotify https://blo ...
- 开方运算的DSP实现
//=============================================== //函数名:VSqrt3 //功能: 实现对32位定点数的开方 //性能: 60M主频28015 ...
- 关于Python脚本开头两行的：#!/usr/bin/python和# -*- coding: utf-8 -*-的作用 – 转
#!/usr/bin/python 是用来说明脚本语言是python的 是要用/usr/bin下面的程序(工具)python,这个解释器,来解释python脚本,来运行python脚本的. # -*- ...
- react高阶函数组件
Layout as a Higher Order Component // components/MyLayout.js import Header from './Header'; const la ...
- 通过url方式传递中文参数时出现的中文乱码问题的处理
1.通过url将参数[会有中文的情况]传递到另外一个页面: window.location.href = "/XXXX/XXXX?searchcontent=" + Content ...
- 统一建模语言简介UML
统一建模语言(Unified Modeling Language,UML)是用来设计软件蓝图的可视化建模语言,1997 年被国际对象管理组织(OMG)采纳为面向对象的建模语言的国际标准.它的特点是简单 ...