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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Aggarwal, Charu C. (Editor ), Han, Jiawei (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Temas:
Data mining.
Database management.
Artificial intelligence.
Pattern recognition systems.
Biometric identification.
Data Mining and Knowledge Discovery.
Database Management.
Artificial Intelligence.
Automated Pattern Recognition.
Biometrics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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