数据挖掘有用的数据集

更新于 2016年3月28日 大数据
我来说两句

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:

<span style="color: #555555;”>UCI收集的机器学习数据集
ftp://pami.sjtu.edu.cn/
http://www.ics.uci.edu/~mlearn//MLRepository.htm

<span style="color: #555555;”>statlib
http://liama.ia.ac.cn/SCILAB/scilabindexgb.htm
http://lib.stat.cmu.edu/

<span style="color: #555555;”>样本数据库
http://kdd.ics.uci.edu/
http://www.ics.uci.edu/~mlearn/MLRepository.html

<span style="color: #555555;”>关于基金的数据挖掘的网站
http://www.gotofund.com/index.asp

http://lans.ece.utexas.edu/~strehl/

<span style="color: #555555;”>reuters数据集
http://www.research.att.com/~lewis/reuters21578.html

<span style="color: #555555;”>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/

<span style="color: #555555;”>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
<a href="http://www.w3.org/Daemon/User/Config/Logging.html#AccessLog”>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
<a href="http://www.almaden.ibm.com/software/quest/Resources/datasets/syndata.html#assocSynData”>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

 

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

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