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Introduction to Knowledge Discovery in Databases

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Data Mining and Knowledge Discovery Handbook

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7. References Principles

7.1 Papers

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7.2 Books

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7.3 Main Conferences

  1. ACM Special Interest Group on Knowledge Discovery and Data Mining International Conference on Knowledge Discovery and Data Mining (SIGKDD)

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  2. ACM Special Interest Group on Management of Data, International Conference on Management of Data (SIGMOD)

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  3. European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD)

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  4. European Conference on Machine Learning (ECML)

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  5. IEEE International Conference on Data Mining (ICDM)

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  6. International Conference on Very Large Databases (VLDB)

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  7. International Conference on Machine Learning (ICML)

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7.4 Main Journals

  1. Data Mining and Knowledge Discovery

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  2. IEEE Transactions on Knowledge and Data Engineering

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  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

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  4. Information Systems

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  5. International Journal of Pattern Recognitions and Applied Intelligence (IJPRAI)

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  6. Knowledge and Information Systems

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  7. Machine Learning

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Tel-Aviv University, Israel

    Oded Maimon & Lior Rokach

Authors
  1. Oded Maimon
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  2. Lior Rokach
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Editor information

Editors and Affiliations

  1. Dept. of Industrial Engineering, Tel-Aviv University, 69978, Ramat-Aviv, Israel

    Oded Maimon  & Lior Rokach  & 

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Maimon, O., Rokach, L. (2005). Introduction to Knowledge Discovery in Databases. In: Maimon, O., Rokach, L. (eds) Data Mining and Knowledge Discovery Handbook. Springer, Boston, MA. https://doi.org/10.1007/0-387-25465-X_1

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  • DOI: https://doi.org/10.1007/0-387-25465-X_1

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-24435-8

  • Online ISBN: 978-0-387-25465-4

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