New Frontiers in Mining Complex Patterns: Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers
Author:   Annalisa Appice ,  Michelangelo Ceci ,  Corrado Loglisci ,  Giuseppe Manco
Publisher:   Springer International Publishing AG
Edition:   2014 ed.
Volume:   8399
ISBN:  

9783319084060


Pages:   261
Publication Date:   22 July 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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New Frontiers in Mining Complex Patterns: Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers


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Overview

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2013, held in conjunction with ECML/PKDD 2013 in Prague, Czech Republic, in September 2013. The 16 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on data streams and time series analysis, classification, clustering and pattern discovery, graphs, networks and relational data, machine learning and music data.

Full Product Details

Author:   Annalisa Appice ,  Michelangelo Ceci ,  Corrado Loglisci ,  Giuseppe Manco
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2014 ed.
Volume:   8399
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   4.219kg
ISBN:  

9783319084060


ISBN 10:   3319084062
Pages:   261
Publication Date:   22 July 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Data Streams and and Time Series Analysis.- Classification, Clustering and Pattern Discovery.- Graphs, Networks and Relational Data.- Machine Learning and Music Data.

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