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Advances in Data Mining. Applications and Theoretical Aspects

16th Industrial Conference, ICDM 2016, New York, NY, USA, July 13-17, 2016. Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Petra Perner

    1. IBaI, Inst of Comp Vision and applied Comp Sci, Leipzig, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9728)

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

Included in the following conference series:

Conference proceedings info: ICDM 2016.

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Table of contents (33 papers)

  1. Front Matter

    Pages I-IX
    Download chapter PDF

  2. Induction of Model Trees for Predicting BOD in River Water: A Data Mining Perspective

    • J. Alamelu Mangai, Bharat B. Gulyani
    Pages 1-13

  3. Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds

    • Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su
    Pages 14-28

  4. Data Mining in Medicine: Relationship of Scoliotic Spine Curvature to the Movement Sequence of Lateral Bending Positions

    • Athena Jalalian, Francis E. H. Tay, Gabriel Liu
    Pages 29-40

  5. A Data Mining-Based Approach for Exploiting the Characteristics of University Lecturers

    • Thuc-Doan Do, Thuy-Van T. Duong, Ngoc-Phien Nguyen
    Pages 41-53

  6. Incremental Response Modeling Based on Segmentation Approach Using Uplift Decision Trees

    • Sankara Prasad Kondareddy, Shruti Agrawal, Shishir Shekhar
    Pages 54-63

  7. PHM: Mining Periodic High-Utility Itemsets

    • Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, Thu-Lan Dam
    Pages 64-79

  8. Comparative Analysis of Levenberg-Marquardt and Bayesian Regularization Backpropagation Algorithms in Photovoltaic Power Estimation Using Artificial Neural Network

    • Kian Jazayeri, Moein Jazayeri, Sener Uysal
    Pages 80-95

  9. Data Mining on Divers Alert Network DSL Database: Classification of Divers

    • Tamer Ozyigit, Cuneyt Yavuz, Massimo Pieri, S. Murat Egi, Bahar Egi, Corentin Altepe et al.
    Pages 96-109

  10. Multiple Health Phases Based Remaining Useful Lifetime Prediction on Bearings

    • Junjie Chen, Xiaofeng Wang, Wenjing Zhou, Lei Zhang, Fei Liu
    Pages 110-124

  11. Innovations in News Media: Crisis Classification System

    • David Kaczynski, Lisa Gandy, Gongzhu Hu
    Pages 125-138

  12. Development of Issue Sets from Social Big Data: A Case Study of Green Energy and Low-Carbon

    • Chun-Che Huang, Yu-Jie Fang, Shian-Hua Lin, Wen-Yau Liang, Shu-Rong Wu
    Pages 139-153

  13. Early Prediction of Extreme Rainfall Events: A Deep Learning Approach

    • Sulagna Gope, Sudeshna Sarkar, Pabitra Mitra, Subimal Ghosh
    Pages 154-167

  14. Identifying and Characterizing Truck Stops from GPS Data

    • Russel Aziz, Manav Kedia, Soham Dan, Sayantan Basu, Sudeshna Sarkar, Sudeshna Mitra et al.
    Pages 168-182

  15. A Fuzzy Rule-Based Learning Algorithm for Customer Churn Prediction

    • Bingquan Huang, Ying Huang, Chongcheng Chen, M. -T. Kechadi
    Pages 183-196

  16. DDoS Attacks Detection in Cloud Computing Using Data Mining Techniques

    • Konstantin Borisenko, Andrey Smirnov, Evgenia Novikova, Andrey Shorov
    Pages 197-211

  17. Coordinate Refinement on All Atoms of the Protein Backbone with Support Vector Regression

    • Ding-Yao Huang, Chiou-Yi Hor, Chang-Biau Yang
    Pages 212-222

  18. The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics

    • Bernard Chen, Christopher Rhodes, Alexander Yu, Valentin Velchev
    Pages 223-238

  19. Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms

    • Bernard Chen, Hai Le, Christopher Rhodes, Dongsheng Che
    Pages 239-252

  20. A Novel Sparsity Based Classification Framework to Exploit Clusters in Data

    • Sudarshan Babu
    Pages 253-265
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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 16th Industrial Conference on Advances in Data Mining, ICDM 2016, held in New York, NY, USA, in July 2016.

The 33 revised full papers presented were carefully reviewed and selected from 100 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and in process control, industry, and society.

Editors and Affiliations

  • IBaI, Inst of Comp Vision and applied Comp Sci, Leipzig, Germany

    Petra Perner

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