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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Aggarwal, Charu C. (Επιμελητής έκδοσης), Han, Jiawei (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.