Mining Intelligence and Knowledge Exploration

5th International Conference, MIKE 2017, Hyderabad, India, December 13–15, 2017, Proceedings

  • Ashish Ghosh
  • Rajarshi Pal
  • Rajendra Prasath
Conference proceedings MIKE 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10682)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10682)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Anwesha Law, Konika Chakraborty, Ashish Ghosh
    Pages 1-10
  3. Shrija Mishra, Geeta Ramani Bala Prasada, Ravi Kant Kumar, Goutam Sanyal
    Pages 11-21
  4. Stuti Chug, Vibhor Kant, Mukesh Jadon
    Pages 64-72
  5. Sumant Pushp, Basant Bhardwaj, Shyamanta M. Hazarika
    Pages 81-89
  6. Brian Carneiro, Rui Peixoto, Filipe Portela, Manuel Filipe Santos
    Pages 90-99
  7. Archil Maysuradze, B. H. Shekar, Mikhail Suvorov
    Pages 123-132
  8. K. S. Manjunatha, D. S. Guru, H. Annapurna
    Pages 133-143
  9. Ram Prakash Sharma, Somnath Dey
    Pages 156-167
  10. Kazi Shah Nawaz Ripon, Lasker Ershad Ali, Sarfaraz Newaz, Jinwen Ma
    Pages 168-177
  11. J. Jebakumari Beulah Vasanthi, T. Kathirvalavakumar
    Pages 178-188
  12. Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Hari Krishna Vydana, Bhargav Pulugandla, Manish Shrivastava, Anil Kumar Vuppala
    Pages 189-197

About these proceedings

Introduction

This book constitutes the refereed post-conference proceedings of the 5th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2017, held in Hyderabad, India, in December 2017. 

The 40 full papers presented were carefully reviewed and selected from 139 submissions. The papers were grouped into various subtopics including arti ficial intelligence, machine learning, image processing, pattern recognition, speech processing, information retrieval, natural language processing, social network analysis, security, and fuzzy rough sets.

Keywords

artificial intelligence classifiers cluster analysis clustering algorithms cross-validation evolutionary algorithms face recognition genetic algorithms image processing machine learning natural language processing semantics signal processing social networking speech recognition Support Vector Machines (SVM) world wide web

Editors and affiliations

  1. 1.Indian Statistical InstituteKolkataIndia
  2. 2.Institute for Development and Research in Banking TechnologyHyderabadIndia
  3. 3.Indian Institute of Information TechnologySri CityIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71928-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-71927-6
  • Online ISBN 978-3-319-71928-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book