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© 2013

New Frontiers in Mining Complex Patterns

First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Rivesed Selected Papers

  • Annalisa Appice
  • Michelangelo Ceci
  • Corrado Loglisci
  • Giuseppe Manco
  • Elio Masciari
  • Zbigniew W. Ras

Benefits

  • High quality selected papers

  • Unique visibility

Conference proceedings NFMCP 2012

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7765)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7765)

Table of contents

  1. Front Matter
  2. Mining Rich (Relational) Datasets

    1. Fernando Martínez-Plumed, Cèsar Ferri, José Hernández-Orallo, María José Ramírez-Quintana
      Pages 1-16
    2. Ondřej Kuželka, Andrea Szabóová, Filip Železný
      Pages 17-32
  3. Mining Complex Patterns from Miscellaneous Data

    1. Dietmar Seipel, Philipp Neubeck, Stefan Köhler, Martin Atzmueller
      Pages 33-48
    2. Eric Paquet, Herna Lydia Viktor, Hongyu Guo
      Pages 49-63
    3. Ayman Hajja, Alicja A. Wieczorkowska, Zbigniew W. Ras, Ryszard Gubrynowicz
      Pages 79-93
  4. Mining Complex Patterns from Trajectory and Sequence Data

    1. Gianni Costa, Giuseppe Manco, Elio Masciari
      Pages 94-108
    2. Elias Egho, Chedy Raïssi, Dino Ienco, Nicolas Jay, Amedeo Napoli, Pascal Poncelet et al.
      Pages 109-123
    3. Mohamed Khalil El Mahrsi, Fabrice Rossi
      Pages 124-137
  5. Mining Complex Patterns from Graphs and Networks

    1. Claudio Taranto, Nicola Di Mauro, Floriana Esposito
      Pages 155-169
    2. Fabio Leuzzi, Stefano Ferilli, Fulvio Rotella
      Pages 170-184
    3. Corrado Loglisci, Michelangelo Ceci, Donato Malerba
      Pages 185-199
    4. Francesco Buccafurri, Gianluca Lax, Antonino Nocera, Domenico Ursino
      Pages 200-214
    5. Francesco Folino, Massimo Guarascio, Luigi Pontieri
      Pages 215-229
  6. Back Matter

About these proceedings

Introduction

This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012, held in conjunction with ECML/PKDD 2012, in Bristol, UK, in September 2012.
The 15 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on mining rich (relational) datasets, mining complex patterns from miscellaneous data, mining complex patterns from trajectory and sequence data, and mining complex patterns from graphs and networks.

Keywords

data mining feature selection log mining probabilistic graphs social web

Editors and affiliations

  • Annalisa Appice
    • 1
  • Michelangelo Ceci
    • 1
  • Corrado Loglisci
    • 1
  • Giuseppe Manco
    • 2
  • Elio Masciari
    • 2
  • Zbigniew W. Ras
    • 3
  1. 1.Dipartimento di InformaticaUniversità degli Studi di Bari Aldo MoroBariItaly
  2. 2.Institute for High Performance Computing and Networks (ICAR)National Research Council (CNR)RendeItaly
  3. 3.Department of Computer ScienceUniversity of North CarolineCharlotteUSA

Bibliographic information

  • Book Title New Frontiers in Mining Complex Patterns
  • Book Subtitle First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Rivesed Selected Papers
  • Editors Annalisa Appice
    Michelangelo Ceci
    Corrado Loglisci
    Giuseppe Manco
    Elio Masciari
    Zbigniew Ras
  • Series Title Lecture Notes in Computer Science
  • DOI https://doi.org/10.1007/978-3-642-37382-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-642-37381-7
  • eBook ISBN 978-3-642-37382-4
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages X, 231
  • Number of Illustrations 57 b/w illustrations, 0 illustrations in colour
  • Topics Data Mining and Knowledge Discovery
    Database Management
    Information Storage and Retrieval
    Artificial Intelligence
  • Buy this book on publisher's site
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