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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 / edited by Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Appice, Annalisa, Editor.
Ceci, Michelangelo, Editor.
Loglisci, Corrado, Editor.
Manco, Giuseppe, Editor.
Masciari, Elio, Editor.
Ras, Zbigniew W., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 8399
Lecture Notes in Artificial Intelligence, 2945-9141 ; 8399
Language:
English
Subjects (All):
Data mining.
Database management.
Information storage and retrieval systems.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Database Management.
Information Storage and Retrieval.
Artificial Intelligence.
Local Subjects:
Data Mining and Knowledge Discovery.
Database Management.
Information Storage and Retrieval.
Artificial Intelligence.
Physical Description:
1 online resource (XII, 261 pages) : 80 illustrations
Edition:
1st ed. 2014.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2014.
System Details:
text file PDF
Summary:
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.
Contents:
Data Streams and and Time Series Analysis
Classification, Clustering and Pattern Discovery
Graphs, Networks and Relational Data
Machine Learning and Music Data.
Other Format:
Printed edition:
ISBN:
978-3-319-08407-7
9783319084077
Access Restriction:
Restricted for use by site license.

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