原文: Wu X, Zhu X, Wu G Q, et al. Data mining with big data[J]. IEEE transactions on knowledge and data engineering, 2013, 26(1): 97-107. 大数据中的数据挖掘 Xindong Wu, Fellow, IEEE, Xingquan Zhu, Senior Member, IEEE, Gong-Qing Wu, and Wei Ding, Senior Member,…

https://www.youtube.com/user/WekaMOOC 大学公开课  视频教程 weka 入门教程 data Mining with Weka: Trailer  More Data Mining with Weka data Mining with Weka: Trailer  More Data Mining with Weka 用weka 进行数据挖掘 用weka 进行更多数据挖掘 https://www.youtube.com/watch?v=LcHw2ph6bss&…

数据挖掘(data mining),机器学习(machine learning),和人工智能(AI)的区别是什么? 数据科学(data science)和商业分析(business analytics)之间有什么关系? 本来我以为不需要解释这个问题的,到底数据挖掘(data mining),机器学习(machine learning),和人工智能(AI)有什么区别,但是前几天因为有个学弟问我,我想了想发现我竟然也回答不出来,我在知乎和博客上查了查这个问题,发现还没有人写过比较详细和有说服力的对比…

本来我以为不需要解释这个问题的,到底数据挖掘(data mining),机器学习(machine learning),和人工智能(AI)有什么区别,但是前几天因为有个学弟问我,我想了想发现我竟然也回答不出来,我在知乎和博客上查了查这个问题,发现还没有人写过比较详细和有说服力的对比和解释.那我根据以前读的书和论文,还有和与导师之间的交流,尝试着说一说这几者的区别吧,毕竟一个好的定义在未来的学习和交流中能够发挥很大的作用.同时补上数据科学和商业分析之间的关系.能力有限,如有疏漏,请包涵和指正. 导论…

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…

from here 论文Timeseries data mining(2012)中提出:时间序列数据挖掘包括7个基本任务和3个基础问题: 7 tasks: query by content clustering classification segmentation?? prediction anomaly detection motif discovery 3 Issues: data representation similarity measure indexing 现已有2013-201…

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…

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…