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Trends and Applications in Knowledge Discovery and Data Mining

af Longbing Cao, Jiuyong Li, Kay Chen Tan, Jian Pei, Bo Liu, Vincent S. Tseng, Can Wang

indgår i Lecture Notes in Computer Science serien

indgår i Lecture Notes in Artificial Intelligence serien

Trends and Applications in Knowledge Discovery and Data Mining af Longbing Cao
Bag om Trends and Applications in Knowledge Discovery and Data Mining

This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013. The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783642403187
  • Indbinding:
  • Paperback
  • Sideantal:
  • 576
  • Udgivet:
  • 5. september 2013
  • Størrelse:
  • 155x31x235 mm.
  • Vægt:
  • 861 g.
  • 8-11 hverdage.
  • 6. december 2024
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Beskrivelse af Trends and Applications in Knowledge Discovery and Data Mining

This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013. The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).

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