Frequent Pattern Mining

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Éditeur :

Springer


Paru le : 2014-08-29

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Description
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 chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.
Pages
471 pages
Collection
n.c
Parution
2014-08-29
Marque
Springer
EAN papier
9783319078205
EAN EPUB
9783319078212

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
47
Taille du fichier
4475 Ko
Prix
145,19 €

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