【数据挖掘】工具整理 - 期刊 - 会议 - 论坛/博客 - 数据集

1 期刊

1. Data Mining and Knowledge Discovery (DMKD)
2. IEEE Transactions on Knowledge and Data Engineering (TKDE)
3. Knowledge and Information Systems(KAIS)
4. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
5. Machine Learning
6. Journal of Machine Learning Research (JMLR)
7. ACM Transactions on Knowledge Discovery from Data (TKDD)
8. Journal of Intelligent Information Systems (JlIS)
9. Statistical Analysis and Data Mining
10. Intelligent Data Analysis

2 会议

1. SIAM International Conference on Data Mining(SDM)
2. The ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD)
3. IEEE International Conference on Data Mining (ICDM)
4. International Conference on Machine Learning and Applications (ICMLA)
5. The World Congress in Computer Science Computer Engineering andApplied Computing(WORLDCOMP)
6. IADIS European Conference on Data Mining (ECDM)
7. Neural Information Processing Systems (NIPS) Conference
8. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
9. Association for the Advancement of Artificial Intelligence (AAA) Conference
10. International Conference on Very Large Data Base (VLDB)
11. IEEE International Conference on Big Data
12. International Conference on Artificial Intelligence and Statistics (AISTATS)

3 论坛/博客

1. KDnuggets Forums
2. Data Mining and Predictive Analytics
   该博客从研究和工业的前景出发，涵盖数据挖掘和预测分析的相关主题。
3. Al, Data Mining, Machine Learning, and Other things 该博客重点讨论机器学习，重点关注人工智能和统计领域。
4. Forrester Big Data Blog 来自公司贡献者的博客聚合，关注大数据主题。
5. IBM Big Data Hub Blogs 来自IBM 思想领袖的博客。
6. Big on Data Andrew Brust、Tony Baer 和 George Anadiotis 涵盖了大数据技术，包括 Hadoop、NoSOL、数据仓库、BI和预测分析。

4 数据集

1. UCI Machine Learning Repository
2. Stanford SNAP Web 数据库
3. KDD Cup 数据集
4. Google 数据集
5. Kaggle 数据集
6. 天池 数据集

数据集搜索关键词包括分类（classification）、聚类（clustering）、回归（regression）、Web挖掘（web mining）、文本挖掘（text mining）、时间序列（time series）、关联规则挖掘的数据（association rule mining）。。