The following addresses have been randomly tested, and most are available, not used, and partially not tested.
The original data is relatively old, but it is enough to test. Contains the raw data and result sets for machine learning, data mining, and smart recommendations.
General writing algorithms are their own blind to get some data testing, although the discussion class brother elder sister often said some commonly used data sets, is not when the matter. Today looked at alas, is very good, but I know too late HoHo
Commonly used in basically   UCI and the popular. on the source code, there are many open source algorithm packages, such as the most famous weka,mlc++. Weka is also constantly updating its algorithms:
http://www.cs.waikato.ac.nz/ml/weka/
machine learning datasets collected by UCI
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/
Sample Database
http://kdd.ics.uci.edu/
Http://www.ics.uci.edu/~mlearn/MLRepository.html
Reuters data Set
Http://www.research.att.com/~lewis/reuters21578.html
Various data sets:
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/
To classify text &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
URL of time series data
http://www.stat.wisc.edu/~reinsel/bjr-data/
Test data for the Apriori algorithm
Http://www.almaden.ibm.com/cs/quest/syndata.html
Links to Data generators
Http://www.cse.cuhk.edu.hk/~kdd/data_collection.html
Http://www.almaden.ibm.com/cs/quest/syndata.html
Association:
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 Notoginseng classification problems, originally obtained from the UCI repository
Http://prdownloads.sourceforge.net/weka/datasets-UCI.jar
2. A jarfile containing Notoginseng regression problems, obtained from various sources
Http://prdownloads.sourceforge.net/weka/datasets-numeric.jar
3. A jarfile containing regression datasets collected by Luis Torgo
Http://prdownloads.sourceforge.net/weka/regression-datasets.jar
Cancer gene:
http://www.broad.mit.edu/cgi-bin/cancer/datasets.cgi
Financial data:
Http://lisp.vse.cz/pkdd99/Challenge/chall.htm
Kdnuggets related linked Datasets (Jiehuaxianfo):
Http://www.kdnuggets.com/datasets/index.html
Another person provides the
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
Various datasets are available on the following URLs:
Http://kdd.ics.uci.edu/summary.data.type.html
For text categorization, there is also a data set that can be used, that is, the rainbow dataset
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
Original address: http://blog.sina.com.cn/s/blog_4c98b96001000883.html
[Go]-finally found the test data set