数据集(二)

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

   Data for MATLAB hackers (Handwritten Digits、Faces、Text)

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

3、UCI KDD Archive(各类数据集)

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

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

4、UCI收集的机器学习数据集

   ftp://pami.sjtu.edu.cn/  

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

5、样本数据库

   http://kdd.ics.uci.edu/

   WWW-pages were manually classified

   http://www-2.csNaNu.edu/afs/csNaNu.edu/project/theo-20/www/data/  

6、CMU World Wide Knowledge Base (Web->KB) project(classified web pages、relational data describing pages and hyperlinks)

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

7、人工智能机器学习

   http://duch-links.wikispaces.com/

8、文本分类,即rainbow的数据集

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

9、Statlib 数理统计相关程序库

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

   http://lib.statNaNu.edu/

   http://lib.statNaNu.edu/datasets/

   http://lib.statNaNu.edu/modules.php?op=modload&name=Downloads&file=index&req=viewdownload&cid=2

10、癌症基因:

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

11、金融、医药数据:

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

12、时间序列数据的网址

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

13、kdnuggets 相关链接各种数据集:

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

14、德国智能分析和信息系统

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

   http://dctc.sjtu.edu.cn/adaptive/datasets/  

   http://fimi.cs.helsinki.fi/data/  

15、IBM智能信息

   http://www-958.ibm.com/software/data/cognos/manyeyes/datasets

   http://www.almaden.ibm.com/software/quest/Resources/index.shtml

16、Frequent Set Counting

   http://miles.cnuce.cnr.it/~palmeri/datam/DCI/datasets.php

17、评分数据集

  Movielens 电影评分数据

   基本数据描述:包括以下三个数据集:

   a.943个用户对1682个电影的10万条评分

   b.6040个用户对3900个电影的1百万条评分

   c.71567个用户对10681个电影的1千万条评分

   http://www.grouplens.org/  

 

   Book-Crossing 书籍评分数据

   基本数据描述:包含了278,858个用户对271,379本书籍的1,149,780条评分。该数据集由Cai-Nicolas Ziegler 在2004年8-9月用4周的时间从Book-Crossing社区用网络爬出。

   http://www.informatik.uni-freiburg.de/~cziegler/BX/

 

  Jester Joke Data Set 笑话评分集合

   来自UC Berkeley的Ken Goldberg发布的一个推荐系统使用的数据集。包含关于100个笑话的73,496名用户评分的410万条连续评分。

   http://www.ieor.berkeley.edu/~goldberg/jester-data/

 

  Netflix 数据集

   也是电影评分数据集,480,189 个用户,17,770 部电影,100,480,507 条评分记录。与它相比,MovieLens 数据集少了 2 个数量级。它的位置相信会逐渐被 Netflix 数据所替代,这是时代进步的必然结果。

   说明:以上四个均为用户评分数据

18、GPS轨迹数据

   GeoLife GPS Trajectories

   http://research.microsoft.com/en-us/downloads/b16d359d-d164-469e-9fd4-daa38f2b2e13/default.aspx  

 

   GPS Trajectories with transportation mode labels

   http://research.microsoft.com/apps/pubs/?id=141896

 

   Movebank 动物轨迹

   http://www.movebank.org/

19、手机WIFI蓝牙

A Community Resource for Archiving Wireless Data At Dartmouth

   http://crawdad.cs.dartmouth.edu/

   crowflow  手机和wifi轨迹

   http://crowdflow.net/

20、OpenStreetMap Data

   planet.openstreetmap.org 或者 http://metro.teczno.com/

21、openpath上传数据+API

   https://openpaths.cc/  

22、FOURSQUARE

23、GeoTime

   http://www.geotime.com/GeoTime(s)/January-2012/Cupid-Strikes-Again--Time-Series---GIS--Together-a.aspx  

24、数据堂

   http://www.datatang.com/

25、http://www.kdnuggets.com/datasets/

26、http://appsrv.cse.cuhk.edu.hk/~kdd/data_collection.html

IBM Almaden Research Center Data Mining Projects

Data Sets:

·         Synthetic Data Generation Code for Associations and Sequential Patterns

·         Synthetic Data Generation Code for Classification

·         "Dense" Data-Sets (apriori binary format, 3.2Mb)

·         Enron Email Data Set

Demos:

·         General Visualizations for Associations

·         Visualization Demo: Market Basket Analysis

 

IBM Intelligent Miner:

 

·         IBM Intelligent Miner for Data

·         Video and image clips from IBM Data Mining T.V. Ad

IBM Data Mining Resources:

·         Business Intelligence Solutions   Our colleagues offering data mining consultancy and services.

·         Data Abstraction Research Group   Our colleagues in IBM Thomas J. Watson Research Center.   Our colleagues in France.

·         Data Mining: Extending the Information Warehouse Framework   IBM White Paper on Data Mining.

在下面的网址可以找到reuters数据集

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

   http://www-2.csNaNu.edu/webkb

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

关联:

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

   http://www.phys.uni.torun.pl/~duch/software.html

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  

数据挖掘相关比赛以及数据集

  • 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 frombioinformatics 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

  •  http://www.cs.cornell.edu/projects/kddcup/index.html

  •  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.

posted @ 2017-04-27 13:40  刘超★ljc  阅读(622)  评论(0编辑  收藏  举报