Skip to main content
  • Conference proceedings
  • © 2015

Computational Intelligence in Data Mining - Volume 1

Proceedings of the International Conference on CIDM, 20-21 December 2014

  • Presents latest research findings in data mining

  • Entails thought-provoking developments to help research students

  • Discusses most recent cutting edge scientific technologies in computing

  • Includes supplementary material: sn.pub/extras

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 31)

Buying options

eBook USD 219.00
Price excludes VAT (USA)
  • ISBN: 978-81-322-2205-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 279.99
Price excludes VAT (USA)
Hardcover Book USD 349.99
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

Table of contents (64 papers)

  1. Front Matter

    Pages i-xxviii
  2. Radiology Information System’s Mechanisms: HL7-MHS and HL7/DICOM Translation

    • Hardeep Singh Kang, Kulwinder Singh Mann
    Pages 1-9
  3. Optimal Control of Twin Rotor MIMO System Using LQR Technique

    • Sumit Kumar Pandey, Vijaya Laxmi
    Pages 11-21
  4. Hybrid Gravitational Search and Particle Swarm Based Fuzzy MLP for Medical Data Classification

    • Tirtharaj Dash, Sanjib Kumar Nayak, H. S. Behera
    Pages 35-43
  5. HOG Based Radial Basis Function Network for Brain MR Image Classification

    • N. K. S. Behera, M. K. Sahoo, H. S. Behera
    Pages 45-56
  6. Hybrid CRO Based FLANN for Financial Credit Risk Forecasting

    • S. R. Sahu, D. P. Kanungo, H. S. Behera
    Pages 57-65
  7. Partial Segmentation and Matching Technique for Iris Recognition

    • Maroti Deshmukh, Munaga V. N. K. Prasad
    Pages 77-86
  8. Medical Data Mining for Discovering Periodically Frequent Diseases from Transactional Databases

    • Mohammed Abdul Khaleel, G. N. Dash, K. S. Choudhury, Mohiuddin Ali Khan
    Pages 87-96
  9. Optimal Power Flow Using PSO

    • Prashant Kumar, Rahul Pukale
    Pages 109-121
  10. Video Retrieval Using Local Binary Pattern

    • Satishkumar Varma, Sanjay Talbar
    Pages 123-130
  11. Mobile Agent Communication Protocols: A Comparative Study

    • Ajay Rawat, Rama Sushil, Lalit Sharm
    Pages 131-141
  12. Automatic Vehicle Identification: LPR with Enhanced Noise Removal Technique

    • Charulata Palai, Pradeep Kumar Jena
    Pages 143-153
  13. GLCM Based Texture Features for Palmprint Identification System

    • Y. L. Malathi Latha, Munaga V. N. K. Prasad
    Pages 155-163
  14. Virtual 3D Trail Mirror to Project the Image Reality

    • Mattupalli Komal Teja, Sajja Karthik, Kommu Lavanya Kumari, Kothuri Sriraman
    Pages 165-174
  15. Data Aggregation Using Dynamic Tree with Minimum Deformations

    • Ashis Behera, Madhumita Panda
    Pages 175-186
  16. Watermarking Techniques in Curvelet Domain

    • Rama Seshagiri Rao Channapragada, Munaga V. N. K. Prasad
    Pages 199-211

About this book

The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

Keywords

  • Advance Computing Methods
  • Big Data Analysis
  • CIDM
  • CIDM 2014
  • CIDM Proceedings
  • Computational Intelligence
  • Data Mining
  • Fuzzy Logic Systems
  • Machine Learning

Editors and Affiliations

  • University of Canberra, Canberra, Australia and University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

  • Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Sambalpur, India

    Himansu Sekhar Behera

  • Computer Science & Engineering, Kalyani University, Nadia, India

    Jyotsna Kumar Mandal

  • Dept. of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, India

    Durga Prasad Mohapatra

About the editors

Prof. Lakhmi Jain is with the Faculty of Education, Science, Technology and Mathematics at the University of Canberra, Australia and University of South Australia, Australia. He is a Fellow of the Institution of Engineers, Australia. Prof Jain founded the Knowledge-Based Intelligent Engineering System (KES) International, a professional community for providing opportunities for publication, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for the professional community through one of the largest conferences of its kind in the area of the KES. His interest focus on artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles and intelligent agents.

Prof.  Himansu Sekhar Behera is working as a Reader in the Department of Computer Sc. Engineering & Information Technology, Veer Surendra Sai University of Technology (VSSUT) (A Unitary Technical University, Established by Govt. of Odisha), Burla, Odisha. He has received M.Tech in Computer Science & Engineering  from N.I.T, Rourkela (formerly R.E.C, Rourkela) and Doctor of Philosophy in Engineering (Ph.D.) from Biju Pattnaik University of Technology (BPUT), Rourkela, Govt. of Odisha respectively. He has published more than 80 research papers in various international Journals and Conferences, Edited 11 books and is acting as a Member of the Editorial / Reviewer Board of various international journals. He is a proficient in the field of Computer Science Engineering and served the capacity of program chair, tutorial chair and act as advisory member of committees of many national and international conferences. His research interest includes Data Mining and Intelligent Computing. He is associated with various educational and research societies like OITS, ISTE, IE, ISTD,CSI,OMS,AIAER, SMIAENG,SMCSTA etc. He is currently guiding seven Ph.D. scholars.

Prof. Jyotsna Kumar Mandal is working as Professor in Computer Science and Engineering, University of Kalyani, India. Ex-Dean Faculty of Engineering, Technology & Management (two consecutive terms since 2008). He has 26 years of teaching and research experiences. He was Life Member of Computer Society of India since 1992 and life member of Cryptology Research Society of India, member of AIRCC, associate member of IEEE and ACM. His research interest includes Network Security, Steganography, Remote Sensing & GIS Application, Image Processing, Wireless and Sensor Networks. Domain Expert of Uttarbanga Krishi Viswavidyalaya, Bidhan Chandra Krishi Viswavidyalaya for planning and integration of Public domain networks. He has been associated with both national, international Journals and Conferences.  His total number of publications is more than 320 including 110 publications in various International Journals. Currently, he is working as Director, IQAC, Kalyani University.

Prof.  Durga Prasad Mohapatra received his Ph.D. from Indian Institute of Technology Kharagpur and is presently serving as an Associate Professor in NIT Rourkela, Odisha. His research interests include software engineering, real-time systems, discrete mathematics, and distributed computing. He has published more than thirty research papers in these fields in various international Journals and conferences. He has received several project grants from DST and UGC, Govt. of India. He has received the Young Scientist Award for the year 2006 by Orissa Bigyan Academy. He has also received the Prof. K. Arumugam National Award and the Maharashtra State National Award for outstanding research work in Software Engineering for the years 2009 and 2010, respectively from the Indian Society for Technical Education (ISTE), New Delhi. He is going to receive the Bharat Sikshya Ratan Award for significant contribution in academics awarded by the Global Society for Health and Educational Growth, Delhi.

Bibliographic Information

  • Book Title: Computational Intelligence in Data Mining - Volume 1

  • Book Subtitle: Proceedings of the International Conference on CIDM, 20-21 December 2014

  • Editors: Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra

  • Series Title: Smart Innovation, Systems and Technologies

  • DOI: https://doi.org/10.1007/978-81-322-2205-7

  • Publisher: Springer New Delhi

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer India 2015

  • Hardcover ISBN: 978-81-322-2204-0

  • Softcover ISBN: 978-81-322-2989-6

  • eBook ISBN: 978-81-322-2205-7

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: XXVIII, 713

  • Number of Illustrations: 327 illustrations in colour

  • Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence

Buying options

eBook USD 219.00
Price excludes VAT (USA)
  • ISBN: 978-81-322-2205-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 279.99
Price excludes VAT (USA)
Hardcover Book USD 349.99
Price excludes VAT (USA)