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Complex Pattern Mining

New Challenges, Methods and Applications

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  • © 2020

Overview

Editors:
  1. Annalisa Appice

    1. Dipartimento di Informatica, Università degli Studi di Bari Aldo Moro, Bari, Italy

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  2. Michelangelo Ceci

    1. Dipartimento di Informatica, Università degli Studi di Bari Aldo Moro, Bari, Italy

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  3. Corrado Loglisci

    1. Dipartimento di Informatica, Università degli Studi di Bari Aldo Moro, Bari, Italy

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  4. Giuseppe Manco

    1. ICAR-CNR, Rende, Italy

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  5. Elio Masciari

    1. Università degli Studi di Napoli Federico II, Naples, Italy

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  6. Zbigniew W. Ras

    1. Department of Computer Science, University of North Carolina, Charlotte, USA

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  • Presents recent research in complex pattern mining
  • Includes revised selected papers presented at the workshops on "New Frontiers in Mining Complex Patterns”
  • Presents new challenges, methods and applications

Part of the book series: Studies in Computational Intelligence (SCI, volume 880)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-x
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  2. Efficient Infrequent Pattern Mining Using Negative Itemset Tree

    • Yifeng Lu, Florian Richter, Thomas Seidl
    Pages 1-16

  3. Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis

    • Zhao Xu, Lorenzo von Ritter, Giuseppe Serra
    Pages 17-32

  4. Optimizing C-Index via Gradient Boosting in Medical Survival Analysis

    • Alicja Wieczorkowska, Wojciech Jarmulski
    Pages 33-45

  5. Order-Preserving Biclustering Based on FCA and Pattern Structures

    • Nyoman Juniarta, Miguel Couceiro, Amedeo Napoli
    Pages 47-62

  6. A Text-Based Regression Approach to Predict Bug-Fix Time

    • Pasquale Ardimento, Nicola Boffoli, Costantino Mele
    Pages 63-83

  7. A Named Entity Recognition Approach for Albanian Using Deep Learning

    • Evis Trandafili, Elinda Kajo Meçe, Enea Duka
    Pages 85-101

  8. A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining

    • Laura Genga, Domenico Potena, Andrea Chiorrini, Claudia Diamantini, Nicola Zannone
    Pages 103-119

  9. Efficient Declarative-Based Process Mining Using an Enhanced Framework

    • Stefano Ferilli, Sergio Angelastro
    Pages 121-136

  10. Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks

    • Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
    Pages 137-152

  11. Classification and Clustering of Emotive Microblogs in Albanian: Two User-Oriented Tasks

    • Marjana Prifti Skenduli, Marenglen Biba
    Pages 153-171

  12. Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification

    • Giuseppina Andresini, Annalisa Appice, Donato Malerba
    Pages 173-187

  13. Applying Analytics to Artist Provided Text to Model Prices of Fine Art

    • Laurel Powell, Anna Gelich, Zbigniew W. Ras
    Pages 189-211

  14. Approximate Query Answering over Incomplete Data

    • Nicola Fiorentino, Cristian Molinaro, Irina Trubitsyna
    Pages 213-227

  15. A Machine Learning Approach for Walker Identification Using Smartphone Sensors

    • Antonio Angrisano, Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Salvatore Gaglione
    Pages 229-247

  16. Back Matter

    Pages 249-250
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Keywords

About this book

This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data now gathered in various real-world applications (e.g., business process monitoring, cybersecurity, medicine, language processing, and remote sensing). The book consists of 14 chapters covering the latest research by the authors and the research centers they represent. It illustrates techniques and algorithms that have recently been developed to preserve the richness of the data and allow us to efficiently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry.

Editors and Affiliations

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

    Annalisa Appice, Michelangelo Ceci, Corrado Loglisci

  • ICAR-CNR, Rende, Italy

    Giuseppe Manco

  • Università degli Studi di Napoli Federico II, Naples, Italy

    Elio Masciari

  • Department of Computer Science, University of North Carolina, Charlotte, USA

    Zbigniew W. Ras

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