数据挖掘的数据集资源
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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?