Advances in Data Mining: Applications and Theoretical Aspects

1. Front Matter

   PDF

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

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.

• case-based reasoning
• data warehouse
• learning algorithms
• rule optimization
• self-organizing maps

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

  Petra Perner

Policies and ethics