python數(shù)據(jù)集、機器學習脆贵、智能數(shù)據(jù)集［zz］

轉(zhuǎn)：http://bbs.w3china.org/blog/more.asp?name=idmer&id=24017

大家做數(shù)據(jù)挖掘研究時医清，常常為找不到合適的數(shù)據(jù)而發(fā)愁。在KDNuggets上有Datasets欄目卖氨，提供一些數(shù)據(jù)集会烙，網(wǎng)址為：http://www.kdnuggets.com/datasets/

還有另外一個很好的資源網(wǎng)址為：http://kdd.ics.uci.edu/负懦，里面包含的數(shù)據(jù)資源如下（按應用領域劃分）：

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

轉(zhuǎn)：http://blogger.org.cn/blog/more.asp?name=DMman&id=24043

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DMman按：以下鏈接轉(zhuǎn)自互聯(lián)網(wǎng)，鏈接的有效性與可用價值DMman沒有逐個進行測試柏腻。

1密似、氣候監(jiān)測數(shù)據(jù)集http://cdiac.ornl.gov/ftp/ndp026b

2、幾個實用的測試數(shù)據(jù)集下載的網(wǎng)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

在下面的網(wǎng)址可以找到reuters數(shù)據(jù)集http://www.research.att.com/~lewis/reuters21578.html

以下網(wǎng)址上有各種數(shù)據(jù)集：

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

進行文本分類葫盼，還有一個數(shù)據(jù)集是可以用的残腌，即rainbow的數(shù)據(jù)集

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

3、找了很多測試數(shù)據(jù)集,寫論文的同志們肯定需要的,至少能用來檢驗算法的效果

可能有一些不能訪問,但是總有能訪問的吧：

UCI收集的機器學習數(shù)據(jù)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/

樣本數(shù)據(jù)庫

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

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

關于基金的數(shù)據(jù)挖掘的網(wǎng)站

http://www.gotofund.com/index.asp

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

reuters數(shù)據(jù)集

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

各種數(shù)據(jù)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/

進行文本分類&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

時間序列數(shù)據(jù)的網(wǎng)址

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

apriori算法的測試數(shù)據(jù)

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

數(shù)據(jù)生成器的鏈接

http://www.cse.cuhk.edu.hk/~kdd/data_collection.html

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

關聯(lián)：

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

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

2抛猫。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

癌癥基因：

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

金融數(shù)據(jù)：

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

另一個人提供的

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

在下面的網(wǎng)址可以找到reuters數(shù)據(jù)集

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

以下網(wǎng)址上有各種數(shù)據(jù)集：

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

進行文本分類孩灯，還有一個數(shù)據(jù)集是可以用的闺金，即rainbow的數(shù)據(jù)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 相關鏈接數(shù)據(jù)集（借花獻佛了）：

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

你也可以到http://blogger.org.cn/blog/more.asp?name=idmer&id=24017

察看kdnuggets 數(shù)據(jù)集資源的詳細介紹。

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資料來源：網(wǎng)絡資料

數(shù)據(jù)挖掘相關比賽以及數(shù)據(jù)集

2005 University of California data mining contest, predicting bad accounts and their churn date using real-world CRM data, deadline June 30, 2005.

ILP 2005 Challenge, on the prediction of functional classes of genes.

KDD Cup 2005, on classifying internet user search queries, deadline July 8.

Data Mining Cup 2005 (Chemnitz, Germany), for students; topic: How data mining can ascertain the risk of loss of payments and reduce this risk.

KDD Cup 2004, focuses on data-mining for a several performance criteria using datasets from bioinformatics and quantum physics.

InfoVis 2004 Contest, The History of InfoVis.

DATA MINING CUP 2004 (Chemnitz, Germany), for students.

InfoVis 2003 Contest: Visualization and Pair Wise Comparison of Trees, results announced Sep 5, 2003.

KDD Cup 2003, focuses on problems motivated by network mining and the analysis of usage logs.

DATA MINING CUP 2003 (Chemnitz, Germany). The task is to identify spam emails before they reach the user′s mailbox.

KDD Cup 2002, focus on data mining in molecular biology.

Student Data Mining Cup (2002), Chemnitz University and Prudential Systems.

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