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Item Details
Title: FREQUENT PATTERN MINING
By: Charu C. Aggarwal (Editor), Jiawei Han (Editor)
Format: Hardback

List price: £129.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 3319078208
ISBN 13: 9783319078205
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date: 30 August, 2014
Edition: 2014 ed.
Pages: 471
Description: Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. 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.
Synopsis: 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.
Illustrations: 20 Tables, black and white; 19 Illustrations, color; 64 Illustrations,
Publication: Switzerland
Imprint: Springer International Publishing AG
Returns: Returnable
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MACHINE LEARNING AND KNOWLEDGE DISCOVERY FOR ENGINEERING SYSTEMS HEALTH MANAGEMENT
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MACHINE LEARNING FOR TEXT
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MANAGING AND MINING GRAPH DATA (HB)
MANAGING AND MINING GRAPH DATA (PB)
MANAGING AND MINING SENSOR DATA (HB)
MANAGING AND MINING SENSOR DATA (PB)
MANAGING AND MINING UNCERTAIN DATA (HB)
MANAGING AND MINING UNCERTAIN DATA (PB)
MINING HETEROGENEOUS INFORMATION NETWORKS
MINING HETEROGENEOUS INFORMATION NETWORKS (PB)
MINING LATENT ENTITY STRUCTURES
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MINING SOFTWARE SPECIFICATIONS
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MINING STRUCTURES OF FACTUAL KNOWLEDGE FROM TEXT
MINING STRUCTURES OF FACTUAL KNOWLEDGE FROM TEXT (HB)
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MINING TEXT DATA (HB)
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MULTIDIMENSIONAL MINING OF MASSIVE TEXT DATA
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NEURAL NETWORKS AND DEEP LEARNING
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OUTLIER ANALYSIS (HB)
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OUTLIER ANALYSIS (PB)
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OUTLIER DETECTION FOR TEMPORAL DATA
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OUTLIER ENSEMBLES (HB)
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PHRASE MINING FROM MASSIVE TEXT AND ITS APPLICATIONS
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