数据挖掘中需要用到的数据集来源

【摘要】本文收集了大量数据挖掘或数据聚类使用到的测试数据集下载地址，给自己做一个笔记，一定会用到的，本文非原创，转载自新浪博客。

原文地址：http://blog.sina.com.cn/s/blog_4c98b96001000883.html

关于源代码，网上有很多公开源码的算法包，例如最为著名的Weka，MLC++等。Weka还在不断的更新其算法，下载地址：

http://www.cs.waikato.ac.nz/ml/weka/

UCI收集的机器学习数据集

http://www.ics.uci.edu/~mlearn/\MLRepository.htm

statlib

http://liama.ia.ac.cn/SCILAB/scilabindexgb.htmhttp://lib.stat.cmu.edu/

样本数据库

http://kdd.ics.uci.edu/http://www.ics.uci.edu/~mlearn/MLRepository.html

关于基金的数据挖掘的网站

http://www.gotofund.com/index.asphttp://lans.ece.utexas.edu/~strehl/

reuters数据集

http://www.research.att.com/~lewis/reuters21578.html

各种数据集：

http://kdd.ics.uci.edu/summary.data.type.htmlhttp://www.mlnet.org/cgi-bin/mlnetois.pl/?File=datasets.htmlhttp://lib.stat.cmu.edu/datasets/http://dctc.sjtu.edu.cn/adaptive/datasets/http://fimi.cs.helsinki.fi/data/http://www.almaden.ibm.com/software/quest/Resources/index.shtmlhttp://miles.cnuce.cnr.it/~palmeri/datam/DCI/

进行文本分类&WEB

http://www-2.cs.cmu.edu/afs/cs/project/theo-11/www/naive-bayes.htmlhttp://www.w3.org/TR/WD-logfile-960221.htmlhttp://www.w3.org/Daemon/User/Config/Logging.html#AccessLoghttp://www.w3.org/1998/11/05/WC-workshop/Papers/bala2.htmlhttp://www-2.cs.cmu.edu/afs/cs.cmu.edu/project/theo-11/www/wwkb/http://www.web-caching.com/traces-logs.htmlhttp://www-2.cs.cmu.edu/webkbhttp://www.cs.auc.dk/research/DP/tdb/TimeCenter/TimeCenterPublications/TR-75.pdfhttp://www.cs.cornell.edu/projects/kddcup/index.html

时间序列数据的网址

http://www.stat.wisc.edu/~reinsel/bjr-data/

apriori算法的测试数据

http://www.almaden.ibm.com/cs/quest/syndata.html

数据生成器的链接

http://www.cse.cuhk.edu.hk/~kdd/data_collection.htmlhttp://www.almaden.ibm.com/cs/quest/syndata.html

关联：

http://flow.dl.sourceforge.net/sourceforge/weka/regression-datasets.jarhttp://www.almaden.ibm.com/software/quest/Resources/datasets/syndata.html#assocSynData

WEKA：

http://flow.dl.sourceforge.net/sourceforge/weka/regression-datasets.jar

1。A jarfile containing 37 classification problems, originally obtained from the UCI repository

http://prdownloads.sourceforge.net/weka/datasets-UCI.jar

2.A jarfile containing 37 regression problems, obtained from various sources

http://prdownloads.sourceforge.net/weka/datasets-numeric.jar

3.A jarfile containing 30 regression datasets collected by Luis Torgo

http://prdownloads.sourceforge.net/weka/regression-datasets.jar

癌症基因：

http://www.broad.mit.edu/cgi-bin/cancer/datasets.cgi

金融数据：

http://lisp.vse.cz/pkdd99/Challenge/chall.htm

kdnuggets 相关链接数据集：

http://www.kdnuggets.com/datasets/index.html

另一个人提供的

http://www.cs.toronto.edu/~roweis/data.htmlhttp://kdd.ics.uci.edu/summary.task.type.htmlhttp://www-2.cs.cmu.edu/afs/cs.cmu.edu/project/theo-20/www/data/http://www-2.cs.cmu.edu/afs/cs.cmu.edu/project/theo-11/www/wwkb/http://www.phys.uni.torun.pl/~duch/software.html

在下面的网址可以找到reuters数据集

http://www.research.att.com/~lewis/reuters21578.html

以下网址上有各种数据集：

http://kdd.ics.uci.edu/summary.data.type.html

进行文本分类，还有一个数据集是可以用的，即rainbow的数据集

http://www-2.cs.cmu.edu/afs/cs/project/theo-11/www/naive-bayes.html

Download the Financial Data (~17.5M zipped file, ~67M unzipped data)

Download the Medical Data (~2M zipped file, ~6M unzipped data)

http://lisp.vse.cz/pkdd99/Challenge/chall.htm

kdnuggets 相关链接数据集：

http://www.kdnuggets.com/datasets/index.html

还有另外一个很好的资源网址，里面包含的数据资源如下（按应用领域划分）：

http://kdd.ics.uci.edu/

Direct Marketing

KDD CUP 1998 Data

GIS

Forest CoverType

Indexing

Corel Image Features

Pseudo Periodic Synthetic Time Series

Intrusion Detection

KDD CUP 1999 Data

Process Control

Synthetic Control Chart Time Series

Recommendation Systems

Entree Chicago Recommendation Data

Robots

Pioneer-1 Mobile Robot Data

Robot Execution Failures

Sign Language Recognition

Australian Sign Language Data

High-quality Australian Sign Language Data

Text Categorization

20 Newsgroups Data

Reuters-21578 Text Categorization Collection

NSF Research Awards Abstracts 199 0-2003

World Wide Web

Microsoft Anonymous Web Data

MSNBC Anonymous Web Data

Syskill Webert Web Data

还有一个网站：

http://www.fs.fed.us/fire/fuelman/

注意：本文会不断的更新

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