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New Frontiers in Mining Complex Patterns

8th International Workshop, NFMCP 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Michelangelo Ceci

    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-ICAR, Rende, Italy

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  4. Elio Masciari

    1. Federico II University, Naples, Italy

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  5. Zbigniew Ras

    1. University of North Carolina, Charlotte, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11948)

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

Included in the following conference series:

Conference proceedings info: NFMCP 2019.

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Table of contents (9 papers)

  1. Front Matter

    Pages i-xii
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  2. Complex Patterns

    1. Front Matter

      Pages 1-1
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    2. A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs

      • Len Feremans, Vincent Vercruyssen, Wannes Meert, Boris Cule, Bart Goethals
      Pages 3-20

    3. A Heuristic Approach for Sensitive Pattern Hiding with Improved Data Quality

      • Shalini Jangra, Durga Toshniowal
      Pages 21-35

  3. Classification and Regression

    1. Front Matter

      Pages 37-37
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    2. Interpretable Survival Gradient Boosting Models with Bagged Trees Base Learners

      • Wojciech Jarmulski, Alicja Wieczorkowska
      Pages 39-51

    3. Neural Hybrid Recommender: Recommendation Needs Collaboration

      • Ezgi Yıldırım, Payam Azad, Şule Gündüz Öğüdücü
      Pages 52-66

    4. Discovering Discriminative Nodes for Classification with Deep Graph Convolutional Methods

      • Liana-Daniela Palcu, Marius Supuran, Camelia Lemnaru, Mihaela Dinsoreanu, Rodica Potolea, Raul Cristian Muresan
      Pages 67-82

  4. Streams and Times Series

    1. Front Matter

      Pages 83-83
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    2. Soft Voting Windowing Ensembles for Learning from Partially Labelled Streams

      • Sean L. A. Floyd, Herna L. Viktor
      Pages 85-99

    3. Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning

      • Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang
      Pages 100-115

  5. Applications

    1. Front Matter

      Pages 117-117
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    2. Customer Purchase Behavior Prediction in E-commerce: A Conceptual Framework and Research Agenda

      • Douglas Cirqueira, Markus Hofer, Dietmar Nedbal, Markus Helfert, Marija Bezbradica
      Pages 119-136

    3. Hough Transform as a Tool for the Classification of Vehicle Speed Changes in On-Road Audio Recordings

      • Elżbieta Kubera, Alicja Wieczorkowska, Andrzej Kuranc
      Pages 137-154

  6. Back Matter

    Pages 155-155
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  1. New Frontiers in Mining Complex Patterns

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About this book

This book constitutes the refereed post-conference proceedings of the 8th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2019, held in conjunction with ECML-PKDD 2019 in Würzburg, Germany, in September 2019.
The workshop focused on the latest developments in the analysis of complex and massive data sources, such as blogs, event or log data, medical data, spatio-temporal data, social networks, mobility data, sensor data and streams.

Editors and Affiliations

  • University of Bari Aldo Moro, Bari, Italy

    Michelangelo Ceci, Corrado Loglisci

  • CNR-ICAR, Rende, Italy

    Giuseppe Manco

  • Federico II University, Naples, Italy

    Elio Masciari

  • University of North Carolina, Charlotte, USA

    Zbigniew Ras

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