Conference WSDM(Web Search and Data Mining)The ACM WSDM Conference Series 不像KDD.WWW或者SIGIR,WSDM因为从最开始就由不少工业界的学术领导人发起并且长期引领,所以十分重视工业界的学术成果的展现. 2017 WSDM 2017精选论文解读 2016 前沿理论.反思创新.产学结合--你不能错过的WSDM 2016大会 Accepted Paper 2015 严谨与特色并行--WSDM 2015大会见闻记 其他 聚…

Abstract The content of the web has increasingly become a focus for academic research. Computer programs are needed in order to conduct any large-scale processing of web pages, requiring the use of a web crawler at some stage in order to fetch the pa…

Problems[show] Classification Clustering Regression Anomaly detection Association rules Reinforcement learning Structured prediction Feature engineering Feature learning Online learning Semi-supervised learning Unsupervised learning Learning to rank…

Classification============== #1. C4.5 Quinlan, J. R. 1993. C4.5: Programs for Machine Learning.Morgan Kaufmann Publishers Inc. Google Scholar Count in October 2006: 6907 #2. CART L. Breiman, J. Friedman, R. Olshen, and C. Stone. Classification andReg…

https://github.com/mattbane/RecommenderSystem http://grouplens.org/datasets/movielens/ KDDCUP-2012官网 From kdnuggets Data repositories AWS (Amazon Web Services) Public Data Sets, provides a centralized repository of public data sets that can be seamle…

Course textbooks Text 1: M. T. Oszu and P. Valduriez, Principles of Distributed Database Systems, 2nd ed., Prentice-Hall, 1999.Errata Text 2: J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2000.Errata Lecture Schedule Th…

What is the most common software of data mining? 1 Orange? 2 Weka? 3 Apache mahout? 4 Rapidminer? 5 R? and which one? If you have any explanation about the topic, I appreciate it.…

Data mining is the process of finding patterns in a given data set. These patterns can often provide meaningful and insightful data to whoever is interested in that data. Data mining is used today in a wide variety of contexts – in fraud detection, a…

https://en.wikipedia.org/wiki/K-means_clustering k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k…

官方网站: Weka 3: Data Mining Software in Java 相关使用方法博客 WEKA使用教程(经典教程转载) (实例数据:bank-data.csv) Weka初步一.二.三.四 使用Weka进行数据挖掘 一个小时速度入门数据挖掘WEKA(一个完整的小例子) 百度文库 WEKA中文详细教程(全) WEKA 3-5-3 Experimenter 指南 数据挖掘工具(weka教程)   基本概念 classify分类     cluster聚类     Associate…