在数据挖掘：概念、模型、方法和算法这本书中，作者推荐了一些国外的期刊，论坛，博客，数据集，现在把可以进入网页的分享到csdn博客上。
一、数据挖掘期刊
1、Data Mining and Knowledge Discovery
http://www.kluweronline.com/issn/1384-5810/
2、IEEE Transactions on Knowledge and Data Engineering(TKDE)
http://www.computer.org/tkde
3、Knowledge and Information Systems(KAIS)
http://www.cs.uvm.edu/~kais/
4、IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI)
http://www.computer.org/web/tpami
5、Machine Learning
http://www.kluweronline.com/issn/0885-6125/
6、Journal of Machine Learning Research(JMLE)
http://jmlr.csail.mit.edu/
7、Journal of Intelligent Information Systems(JIIS)
http://link.springer.com/journal/10844
8、Statistical Analysis and Data Mining
http://www.amstat.org/publications/journals.cfm
9、Intelligent Data Analysis
http://www.iospress.nl/journal/intelligent-data-analysis/
二、数据挖掘论坛/博客
1、KDnuggets Forums
http://www.kdnuggets.com/phpBB/index.php
2、Data-Mining Research
http://www.dataminingblog.com/
3、Machine Learning(Theory)
http://hunch.net/
三、数据集
http://archive.ics.uci.edu/ml/index.html
1、分类
http://archive.ics.uci.edu/ml/datasets/Adult
2、聚类
http://archive.ics.uci.edu/ml/datasets/Bag+of+Words
3、回归
http://archive.ics.uci.edu/ml/datasets/Auto+MPG
4、Web挖掘
http://archive.ics.uci.edu/ml/datasets/Anonymous+Microsoft+Web+Data
5、文本挖掘
http://qwone.com/~jason/20Newsgroups/
6、时间序列
http://archive.ics.uci.edu/ml/datasets/Dodgers+Loop+Sensor
7、关联规则挖掘的数据
http://www.sigkdd.org/kddcup