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Frequent Pattern Mining

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each ch...

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Bibliographic Details
Other Authors: Aggarwal, Charu C. (Editor), Han, Jiawei (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2014, 2014
Edition:1st ed. 2014
Subjects:
Artificial Intelligence
Database Management
Data Mining
Biometrics
Data Mining And Knowledge Discovery
Automated Pattern Recognition
Biometric Identification
Pattern Recognition Systems
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • An Introduction to Frequent Pattern Mining
  • Frequent Pattern Mining Algorithms: A Survey
  • Pattern-growth Methods
  • Mining Long Patterns
  • Interesting Patterns
  • Negative Association Rules
  • Constraint-based Pattern Mining
  • Mining and Using Sets of Patterns through Compression
  • Frequent Pattern Mining in Data Streams
  • Big Data Frequent Pattern Mining
  • Sequential Pattern Mining
  • Spatiotemporal Pattern Mining: Algorithms and Applications
  • Mining Graph Patterns
  • Uncertain Frequent Pattern Mining
  • Privacy in Association Rule Mining
  • Frequent Pattern Mining Algorithms for Data Clustering
  • Supervised Pattern Mining and Applications to Classification
  • Applications of Frequent Pattern Mining

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