Mining Intelligence and Knowledge Exploration

1. Front Matter

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2. A Feature Selection Method Using Hierarchical Clustering

   • Cheong Hee Park

   Pages 1-6

3. Rank Aggregation for Filter Feature Selection in Credit Scoring

   • Waad Bouaguel, Ghazi Bel Mufti, Mohamed Limam

   Pages 7-15

4. Hybrid Approach for Palmprint Recognition Using Compound Features

   • N. L. Manasa, A. Govardhan, Ch. Satyanarayana

   Pages 16-27

5. An Empirical Evaluation of SVM on Meta Features for Authorship Attribution of Online Texts

   • Hongwei Yao, Tieyun Qian, Li Chen, Manyun Qian, Xueyu Mo

   Pages 28-37

6. An Empirical Comparison of Discretization Methods for Neural Classifier

   • M. Gethsiyal Augasta, Thangairulappan Kathirvalavakumar

   Pages 38-49

7. Using a Normalized Score Multi-Label KNN to Classify Multi-label Herbal Formulae

   • Verayuth Lertnattee, Sinthop Chomya, Chanisara Lueviphan

   Pages 50-61

8. Unsupervised Approach to Hindi Music Mood Classification

   • Braja Gopal Patra, Dipankar Das, Sivaji Bandyopadhyay

   Pages 62-69

9. Motion Intensity Code for Action Recognition in Video Using PCA and SVM

   • J. Arunnehru, M. Kalaiselvi Geetha

   Pages 70-81

10. Performance Analysis of Tree Based Classification Algorithms for Intrusion Detection System

    • G. V. Nadiammai, M. Hemalatha

    Pages 82-89

11. Heart Disease Classification Using PCA and Feed Forward Neural Networks

    • T. Santhanam, E. P. Ephzibah

    Pages 90-99

12. Non-disjoint Cluster Analysis with Non-uniform Density

    • Chiheb-Eddine Ben N’Cir, Nadia Essoussi

    Pages 100-111

13. Segmentation of Crop Nutrient Deficiency Using Intuitionistic Fuzzy C-Means Color Clustering Algorithm

    • P. Balasubramaniam, V. P. Ananthi

    Pages 112-119

14. An Efficient Artificial Bee Colony and Fuzzy C Means Based Co-regulated Biclustering from Gene Expression Data

    • K. Sathishkumar, E. Balamurugan, P. Narendran

    Pages 120-129

15. Bisecting K-Means Initialization Technique for Protein Sequence Motif Identification

    • M. Chitralegha, K. Thangavel

    Pages 130-138

16. A Proposed Hybrid Medoid Shift with K-Means (HMSK) Segmentation Algorithm to Detect Tumor and Organs for Effective Radiotherapy

    • V. V. Gomathi, S. Karthikeyan

    Pages 139-147

17. Face Representation Using Averaged Wavelet, Micro Patterns and Recognition Using RBF Network

    • Thangairulappan Kathirvalavakumar, J. Jebakumari Beulah Vasanthi

    Pages 148-159

18. Face Recognition in Very Low Bit Rate SPIHT Compressed Facial Images

    • Karuppana Gounder Somasundaram, Nagappan Palaniappan

    Pages 160-172

19. Modified Kittler and Illingworth’s Thresholding for MRI Brain Image Segmentation

    • T. Kalaiselvi, P. Nagaraja

    Pages 173-179

20. Histogram Based Split and Merge Framework for Shot Boundary Detection

    • D. S. Guru, Mahamad Suhil

    Pages 180-191

This book constitutes the proceedings of the First International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2013, held in Tamil Nadu, India on December 2013. The 82 papers presented were carefully reviewed and selected from 334 submissions. The papers cover the topics such as feature selection, classification, clustering, image processing, network security, speech processing, machine learning, information retrieval, recommender systems, natural language processing, language, cognition and computation and other certain problems in dynamical systems.

• data mining
• learning algorithms
• neural networks
• pattern recognition
• text mining

• Department of Business Information Systems, FSIC, National University of Ireland, University College Cork, Cork, Ireland

  Rajendra Prasath

• Research Centre in Computer Science, V.H.N.Senthikumara Nadar College (Autonomous), Virudhunagar, India

  T. Kathirvalavakumar

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