[Data Mining] Tool Organization - Journals - Conferences - Forums/Blogs - Datasets

1 journal

  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 meetings

  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 Forum/Blog

  1. KDnuggets Forums
  2. Data Mining and Predictive Analytics
    This blog covers topics related to data mining and predictive analytics from a research and industry perspective.
  3. Al, Data Mining, Machine Learning, and Other things This blog focuses on machine learning, with an emphasis on the fields of artificial intelligence and statistics.
  4. Forrester Big Data Blog A collection of blogs from the company's contributors focusing on Big Data topics.
  5. IBM Big Data Hub Blogs Blogs from IBM thought leaders.
  6. Big on Data Andrew Brust, Tony Baer, ​​and George Anadiotis cover big data technologies, including Hadoop, NoSOL, data warehousing, BI, and predictive analytics.

4 data sets

  1. UCI Machine Learning Repository
  2. Stanford SNAP Web Database
  3. KDD Cup Dataset
  4. Google dataset
  5. Kaggle dataset
  6. Tianchi data set

Data set search keywords include classification, clustering, regression, web mining, text mining, time series, association rule mining data (association) rule mining). .

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Origin blog.csdn.net/weixin_46112690/article/details/134867911