数据挖掘的数据合股源

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来自互联网：

1、气候监测数据集 http://cdiac.ornl.gov/ftp/ndp026b

2、几个实用的测试数据集下载的网站

http://www.cs.toronto.edu/~roweis/data.html

http://www.cs.toronto.edu/~roweis/data.html

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

http://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

3、找了很多测试数据集,写论文的同志们肯定需要的,至少能用来检验算法的效果

可能有一些不能访问,但是总有能访问的吧：

UCI收集的机器学习数据集

ftp://pami.sjtu.edu.cn/

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

statlib?

http://liama.ia.ac.cn/SCILAB/scilabindexgb.htm

http://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.asp

http://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.html

http://www.mlnet.org/cgi-bin/mlnetois.pl/?File=datasets.html

http://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.shtml

http://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.html

http://www.w3.org/TR/WD-logfile-960221.html

http://www.w3.org/Daemon/User/Config/Logging.html#AccessLog

http://www.w3.org/1998/11/05/WC-workshop/Papers/bala2.html

http://www-2.cs.cmu.edu/afs/cs.cmu.edu/project/theo-11/www/wwkb/

http://www.web-caching.com/traces-logs.html

http://www-2.cs.cmu.edu/webkb

http://www.cs.auc.dk/research/DP/tdb/TimeCenter/TimeCenterPublications/TR-75.pdf

http://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.html

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

关联：

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

http://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

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另一个人提供的

http://www.cs.toronto.edu/~roweis/data.html

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

http://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为：http://kdd.ics.uci.edu/，里面包含的数据资源如下（按应用领域划分）：

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?