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Mining Intelligence and Knowledge Exploration

First International Conference, MIKE 2013, Tamil Nadu, India, December 18-20, 2013, Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. Rajendra Prasath

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

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  2. T. Kathirvalavakumar

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

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8284)

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

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About this book

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.

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Keywords

Table of contents (82 papers)

  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
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Editors and Affiliations

  • 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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