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New Frontiers in Mining Complex Patterns: Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers: Lecture Notes in Computer Science, cartea 8983

Editat de Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
en Limba Engleză Paperback – 8 mai 2015
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2014, held in conjunction with ECML-PKDD 2014 in Nancy, France, in September 2014.The 13 revised full papers presented were carefully reviewed and selected from numerous submissions. They illustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. The papers are organized in the following sections: classification and regression; clustering; data streams and sequences; applications.
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Specificații

ISBN-13: 9783319178752
ISBN-10: 331917875X
Pagini: 211
Ilustrații: XII, 211 p. 61 illus.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.32 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Public țintă

Research

Caracteristici

Up-to-date results Fast track conference proceedings State-of-the-art report Includes supplementary material: sn.pub/extras

Cuprins

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

Textul de pe ultima copertă

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.