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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

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Annalisa Appice

    1. University of Bari Aldo Moro, Bari, Italy

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  2. Corrado Loglisci

    1. University of Bari Aldo Moro, Bari, Italy

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  3. Giuseppe Manco

    1. CNR, Rende, Italy

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  4. Elio Masciari

    1. CNR, Rende, Italy

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  5. Zbigniew W. Ras

    1. University of North Carolina, Charlotte, USA

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

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

Included in the following conference series:

Conference proceedings info: NFMCP 2017.

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Table of contents (13 papers)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. Learning Association Rules for Pharmacogenomic Studies

    • Giuseppe Agapito, Pietro H. Guzzi, Mario Cannataro
    Pages 1-15

  3. Segment-Removal Based Stuttered Speech Remediation

    • Pierre Arbajian, Ayman Hajja, Zbigniew W. Raś, Alicja A. Wieczorkowska
    Pages 16-34

  4. Identifying lncRNA-Disease Relationships via Heterogeneous Clustering

    • Emanuele Pio Barracchia, Gianvito Pio, Donato Malerba, Michelangelo Ceci
    Pages 35-48

  5. Density Estimators for Positive-Unlabeled Learning

    • Teresa M. A. Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari
    Pages 49-64

  6. Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum

    • Vincent Branders, Pierre Schaus, Pierre Dupont
    Pages 65-79

  7. A Scaled-Correlation Based Approach for Defining and Analyzing Functional Networks

    • Samuel Dolean, Mihaela Dînşoreanu, Raul Cristian Mureşan, Attila Geiszt, Rodica Potolea, Ioana Ţincaş
    Pages 80-92

  8. Complex Localization in the Multiple Instance Learning Context

    • Dan-Ovidiu Graur, Răzvan-Alexandru Mariş, Rodica Potolea, Mihaela Dînşoreanu, Camelia Lemnaru
    Pages 93-106

  9. Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform

    • Massimo Guarascio, Ettore Ritacco, Daniele Biondo, Rocco Mammoliti, Alessandra Toma
    Pages 107-121

  10. Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load

    • Peter Laurinec, Mária Lucká
    Pages 122-137

  11. Phenotype Prediction with Semi-supervised Classification Trees

    • Jurica Levatić, Maria Brbić, Tomaž Stepišnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Šmuc et al.
    Pages 138-150

  12. Structuring the Output Space in Multi-label Classification by Using Feature Ranking

    • Stevanche Nikoloski, Dragi Kocev, Sašo Džeroski
    Pages 151-166

  13. Infinite Mixtures of Markov Chains

    • Jan Reubold, Ahcène Boubekki, Thorsten Strufe, Ulf Brefeld
    Pages 167-181

  14. Community-Based Semantic Subgroup Discovery

    • Blaž Škrlj, Jan Kralj, Anže Vavpetič, Nada Lavrač
    Pages 182-196

  15. Back Matter

    Pages 197-197
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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 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.

Editors and Affiliations

  • University of Bari Aldo Moro, Bari, Italy

    Annalisa Appice, Corrado Loglisci

  • CNR, Rende, Italy

    Giuseppe Manco, Elio Masciari

  • University of North Carolina, Charlotte, USA

    Zbigniew W. Ras

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