Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Released on by Irena Koprinska
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  • Machine Learning and Principles and Practice of Knowledge Discovery in Databases Book Detail

  • Author : Irena Koprinska
  • Release Date : 2023-01-30
  • Publisher : Springer Nature
  • Genre : Computers
  • Pages : 646
  • ISBN 13 : 3031236181
  • File Size : 21,21 MB
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases by Irena Koprinska PDF Summary

Book Description: This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022)

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