Advertisement

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

  • Annalisa Appice
  • Michelangelo Ceci
  • Corrado Loglisci
  • Elio Masciari
  • Zbigniew W. Raś
Conference proceedings NFMCP 2016

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10312)

Table of contents

  1. Front Matter
    Pages I-XIV
    PDF

  2. Feature Selection and Induction

    1. Front Matter
      Pages 1-1
      PDF
    2. Feature Induction and Network Mining with Clustering Tree Ensembles
      Konstantinos Pliakos, Celine Vens
      Pages 3-18
    3. Ranking to Learn:
      Giorgio Roffo, Simone Melzi
      Pages 19-35

  3. Classification and Prediction

    1. Front Matter
      Pages 37-37
      PDF
    2. Bayesian Confirmation Measures in Rule-Based Classification
      Dariusz Brzezinski, Zbigniew Grudziński, Izabela Szczęch
      Pages 39-53
    3. Audio-Based Speed Change Classification for Vehicles
      Elżbieta Kubera, Alicja Wieczorkowska, Tomasz Słowik, Andrzej Kuranc, Krzysztof Skrzypiec
      Pages 54-68
    4. A Statistical Approach to Speaker Identification in Forensic Phonetics
      Fabio Leuzzi, Giovanni Tessitore, Stefano Delfino, Claudio Fusco, Massimo Gneo, Gianpaolo Zambonini et al.
      Pages 69-83
    5. Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmation Measures
      Krystyna Napierała, Jerzy Stefanowski, Izabela Szczȩch
      Pages 84-98
    6. Analyzing Time-Decay Effects of Mediating-Objects in Creating Trust-Links
      Hiroki Takahashi, Masahiro Kimura
      Pages 99-114

  4. Clustering

    1. Front Matter
      Pages 115-115
      PDF
    2. Predicting the Primary Medical Procedure Through Clustering of Patients’ Diagnoses
      Mamoun Almardini, Ayman Hajja, Zbigniew W. Raś, Lina Clover, David Olaleye
      Pages 117-131
    3. Feature Clustering for Extreme Events Analysis, with Application to Extreme Stream-Flow Data
      Maël Chiapino, Anne Sabourin
      Pages 132-147
    4. Profiling Human Behavior Through Multidimensional Latent Factor Modeling
      Massimo Guarascio, Francesco Sergio Pisani, Ettore Ritacco, Pietro Sabatino
      Pages 148-162
    5. Multi-view Approach to Parkinson’s Disease Quality of Life Data Analysis
      Anita Valmarska, Dragana Miljkovic, Marko Robnik-Šikonja, Nada Lavrač
      Pages 163-178

  5. Pattern Discovery

    1. Front Matter
      Pages 179-179
      PDF
    2. Subgraph Mining for Anomalous Pattern Discovery in Event Logs
      Laura Genga, Domenico Potena, Orazio Martino, Mahdi Alizadeh, Claudia Diamantini, Nicola Zannone
      Pages 181-197
    3. Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data
      Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
      Pages 198-212
    4. Mining Keystroke Timing Pattern for User Authentication
      Saket Maheshwary, Vikram Pudi
      Pages 213-227

  6. Applications

    1. Front Matter
      Pages 229-229
      PDF
    2. HypGraphs: An Approach for Analysis and Assessment of Graph-Based and Sequential Hypotheses
      Martin Atzmueller, Andreas Schmidt, Benjamin Kloepper, David Arnu
      Pages 231-247
    3. Mining Chess Playing as a Complex Process
      Stefano Ferilli, Sergio Angelastro
      Pages 248-262
  7. Back Matter
    Pages 263-263
    PDF

About these proceedings

Introduction

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.

 

Keywords

data mining ensemble methods knowledge discovery machine learning parallel algorithms classification clustering data stream mining feature selection first-order logic logic programming metalearning multi-task learning network analysis semantic similarity measures supervised learning support vector machines text mining heuristics time series analysis validation

Editors and affiliations

  • Annalisa Appice
    • 1
  • Michelangelo Ceci
    • 2
  • Corrado Loglisci
    • 3
  • Elio Masciari
    • 4
  • Zbigniew W. Raś
    • 5
  1. 1.Università degli Studi di Bari Aldo MoroBariItaly
  2. 2.Università degli Studi di Bari Aldo MoroBariItaly
  3. 3.Università degli Studi di Bari Aldo MoroBariItaly
  4. 4.ICAR-CNRRendeItaly
  5. 5.University of North CarolinaCharlotteUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61461-8
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-61460-1
  • Online ISBN 978-3-319-61461-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Engineering