International Conference on Mining Intelligence and Knowledge Exploration

Mining Intelligence and Knowledge Exploration

Third International Conference, MIKE 2015, Hyderabad, India, December 9-11, 2015, Proceedings

  • Rajendra Prasath
  • Anil Kumar Vuppala
  • T. Kathirvalavakumar

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9468)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9468)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Shubhranshu Shekhar, Sutanu Chakraborti, Deepak Khemani
    Pages 1-11
  3. Emna Mouelhi, Waad Bouaguel, Ghazi Bel Mufti
    Pages 22-28
  4. S. Manjunath, K.S. Manjunatha, D.S. Guru, M.T. Somashekara
    Pages 58-69
  5. Rajhans Gondane, V. Susheela Devi
    Pages 70-80
  6. B. S. Harish, M. B. Revanasiddappa, S. V. Aruna Kumar
    Pages 93-102
  7. H.S. Nagendraswamy, B.M. Chethana Kumara, R. Lekha Chinmayi
    Pages 103-114
  8. R. Jothi, Sraban Kumar Mohanty, Aparajita Ojha
    Pages 161-169
  9. Yasmin Aboubi, Habiba Drias, Nadjet Kamel
    Pages 170-183
  10. Bibudhendu Pati, Joy Lal Sarkar, Chhabi Rani Panigrahi, Mayank Tiwary
    Pages 184-193
  11. T. Kathirvalavakumar, K. S. Jeyalakshmi
    Pages 194-203

About these proceedings

Introduction

This book constitutes the refereed proceedings of the Third International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2015, held in Hyderabad, India, in December 2015.

The 48 full papers and 8 short papers presented together with 4 doctoral consortium papers were carefully reviewed and selected from 185 submissions. The papers cover a wide range of topics including information retrieval, machine learning, pattern recognition, knowledge discovery, classification, clustering, image processing, network security, speech processing, natural language processing, language, cognition and computation, fuzzy sets, and business intelligence.

Keywords

Big data Computer-assisted learning Deep neural networks Genetic algorithm Question answering Automatic speech recognition Business process modeling Classification Clustering algorithms Data mining Information retrieval Knowledge discovery Machine learning Metaheuristic optimization Natural language processing Neural networks Pattern recognition Recommender systems Social network analysis Support vector machines

Editors and affiliations

  • Rajendra Prasath
    • 1
  • Anil Kumar Vuppala
    • 2
  • T. Kathirvalavakumar
    • 3
  1. 1.Norwegian Univ. of Science & TechnologyTrondheimNorway
  2. 2.Intl Inst of Info Tech HyderabadHyderabadIndia
  3. 3.V.H.N.S.N.College (Autonomous)VirudhunagarIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-26832-3
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-26831-6
  • Online ISBN 978-3-319-26832-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book