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Advances in Data Mining: Applications and Theoretical Aspects

13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013. Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. Petra Perner

    1. Institute of Computer Vision and Applied Computer Sciences, IBaI, Leipzig, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7987)

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

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Conference proceedings info: ICDM 2013.

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Table of contents (21 papers)

  1. Front Matter

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  2. Mining and Information Integration Practice for Chinese Bibliographic Database of Life Sciences

    • Heng Chen, Yi Jin, Yan Zhao, Yongjuan Zhang, Chengcai Chen, Jilin Sun et al.
    Pages 1-10

  3. An Automated Search Space Reduction Methodology for Large Databases

    • Angel Kuri-Morales
    Pages 11-24

  4. Towards a High Productivity Automatic Analysis Framework for Classification: An Initial Study

    • Thomas Ludescher, Thomas Feilhauer, Anton Amann, Peter Brezany
    Pages 25-39

  5. Extending Statistical Models for Batch-End Quality Prediction to Batch Control

    • Geert Gins, Jef Vanlaer, Pieter Van den Kerkhof, Jan F. M. Van Impe
    Pages 40-54

  6. Pattern-Based Solution Risk Model for Strategic IT Outsourcing

    • Robert Gwadera
    Pages 55-69

  7. Mining Semantic Relationships between Concepts across Documents Incorporating Wikipedia Knowledge

    • Peng Yan, Wei Jin
    Pages 70-84

  8. Estimating Risk Management in Software Engineering Projects

    • Jaime Santos, Orlando Belo
    Pages 85-98

  9. Wastewater Treatment Plant Performance Prediction with Support Vector Machines

    • Daniel Ribeiro, António Sanfins, Orlando Belo
    Pages 99-111

  10. Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework

    • Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin
    Pages 112-126

  11. Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis

    • Serhat Güden, Umman Tugba Gursoy
    Pages 127-136

  12. A Study on Multi-label Classification

    • Clifford A. Tawiah, Victor S. Sheng
    Pages 137-150

  13. Robust Feature Selection for SVMs under Uncertain Data

    • Hoai An Le Thi, Xuan Thanh Vo, Tao Pham Dinh
    Pages 151-165

  14. A Hybrid Machine Learning Method and Its Application in Municipal Waste Prediction

    • Emadoddin Livani, Raymond Nguyen, Jörg Denzinger, Günther Ruhe, Scott Banack
    Pages 166-180

  15. BiETopti-BiClustering Ensemble Using Optimization Techniques

    • Geeta Aggarwal, Neelima Gupta
    Pages 181-192

  16. Multiple Buying Behavior as an Indicator of Brand Loyalty: An Association Rule Application

    • Diren Bulut, Umman Tuğba Gursoy, Kemal Kurtulus
    Pages 193-204

  17. Matching Semi-structured Documents Using Similarity of Regions through Fuzzy Rule-Based System

    • Alireza Ensan, Yevgen Biletskiy
    Pages 205-217

  18. Data Mining Application for Cyber Credit-Card Fraud Detection System

    • John Akhilomen
    Pages 218-228

  19. Feature Representation for Customer Attrition Risk Prediction in Retail Banking

    • Yanbo J. Wang, Gang Di, Junxuan Yu, Juan Lei, Frans Coenen
    Pages 229-238

  20. An Evolutionary Method for Associative Local Distribution Rule Mining

    • Kaoru Shimada, Takashi Hanioka
    Pages 239-253
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  1. Advances in Data Mining. Applications and Theoretical Aspects

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About this book

This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.

Editors and Affiliations

  • Institute of Computer Vision and Applied Computer Sciences, IBaI, Leipzig, Germany

    Petra Perner

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