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
Descripción
Sumario: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.
Descripción Física:XIX, 471 p. 83 illus., 19 illus. in color. online resource.
ISBN:9783319078212

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