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New Frontiers in Mining Complex Patterns

5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers

  • Conference proceedings
  • © 2017

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10312)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: NFMCP 2016.

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Table of contents (16 papers)

  1. Feature Selection and Induction

  2. Classification and Prediction

  3. Clustering

  4. Pattern Discovery

  5. Applications

Other volumes

  1. New Frontiers in Mining Complex Patterns

Keywords

About this book

This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 5th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2016, held in conjunction with ECML-PKDD 2016 in Riva del Garda, Italy, in September 2016. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications.

 

Editors and Affiliations

  • Università degli Studi di Bari Aldo Moro, Bari, Italy

    Annalisa Appice, Michelangelo Ceci, Corrado Loglisci

  • ICAR-CNR, Rende, Italy

    Elio Masciari

  • University of North Carolina, Charlotte, USA

    Zbigniew W. Raś

Bibliographic Information

  • Book Title: New Frontiers in Mining Complex Patterns

  • Book Subtitle: 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers

  • Editors: Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Zbigniew W. Raś

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-61461-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Softcover ISBN: 978-3-319-61460-1Published: 04 July 2017

  • eBook ISBN: 978-3-319-61461-8Published: 01 July 2017

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 263

  • Number of Illustrations: 66 b/w illustrations

  • Topics: Data Mining and Knowledge Discovery, Database Management, Information Storage and Retrieval, Artificial Intelligence

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