New Frontiers in Mining Complex Patterns

6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers

  • Annalisa Appice
  • Corrado Loglisci
  • Giuseppe Manco
  • Elio Masciari
  • Zbigniew W. Ras
Conference proceedings NFMCP 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10785)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10785)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Giuseppe Agapito, Pietro H. Guzzi, Mario Cannataro
    Pages 1-15
  3. Pierre Arbajian, Ayman Hajja, Zbigniew W. Raś, Alicja A. Wieczorkowska
    Pages 16-34
  4. Emanuele Pio Barracchia, Gianvito Pio, Donato Malerba, Michelangelo Ceci
    Pages 35-48
  5. Teresa M. A. Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari
    Pages 49-64
  6. Vincent Branders, Pierre Schaus, Pierre Dupont
    Pages 65-79
  7. Samuel Dolean, Mihaela Dînşoreanu, Raul Cristian Mureşan, Attila Geiszt, Rodica Potolea, Ioana Ţincaş
    Pages 80-92
  8. Dan-Ovidiu Graur, Răzvan-Alexandru Mariş, Rodica Potolea, Mihaela Dînşoreanu, Camelia Lemnaru
    Pages 93-106
  9. Massimo Guarascio, Ettore Ritacco, Daniele Biondo, Rocco Mammoliti, Alessandra Toma
    Pages 107-121
  10. Jurica Levatić, Maria Brbić, Tomaž Stepišnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Šmuc et al.
    Pages 138-150
  11. Stevanche Nikoloski, Dragi Kocev, Sašo Džeroski
    Pages 151-166
  12. Jan Reubold, Ahcène Boubekki, Thorsten Strufe, Ulf Brefeld
    Pages 167-181
  13. Blaž Škrlj, Jan Kralj, Anže Vavpetič, Nada Lavrač
    Pages 182-196
  14. Back Matter
    Pages 197-197

About these proceedings

Introduction

This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications.
The workshop was aimed at discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery. Finally, it encouraged the integration of recent results from existing fields, such as Statistics, Machine Learning and Big Data Analytics.

Keywords

artificial intelligence classification cluster analysis data mining clustering data stream mining ensemble methods feature selection logic programming machine learning machine learning approaches meta-learning multi-task learning network analysis supervised learning social networks

Editors and affiliations

  • Annalisa Appice
    • 1
  • Corrado Loglisci
    • 2
  • Giuseppe Manco
    • 3
  • Elio Masciari
    • 4
  • Zbigniew W. Ras
    • 5
  1. 1.University of Bari Aldo MoroBariItaly
  2. 2.University of Bari Aldo MoroBariItaly
  3. 3.CNRRendeItaly
  4. 4.CNRRendeItaly
  5. 5.University of North CarolinaCharlotteUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-78680-3
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-78679-7
  • Online ISBN 978-3-319-78680-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
Industry Sectors
Pharma
Automotive
Biotechnology
Electronics
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace