Computational Intelligence in Data Mining - Volume 1

1. A Method for the Selection of Software Testing Techniques Using Analytic Hierarchy Process

   • Mohd Sadiq, Sahida Sultana

   Pages 213-220

2. Implementation of an Anti-phishing Technique for Secure Login Using USB (IATSLU)

   • Amit Solanki, S. R. Dogiwal

   Pages 221-231

3. Clustering Based on Fuzzy Rule-Based Classifier

   • D. K. Behera, P. K. Patra

   Pages 233-242

4. Automatic Contrast Enhancement for Wireless Capsule Endoscopy Videos with Spectral Optimal Contrast-Tone Mapping

   • V. B. Surya Prasath, Radhakrishnan Delhibabu

   Pages 243-250

5. Cuckoo Search Algorithm Based Optimal Tuning of PID Structured TCSC Controller

   • Rupashree Sethi, Sidhartha Panda, Bibhuti Prasad Sahoo

   Pages 251-263

6. Design and Simulation of Fuzzy System Using Operational Transconductance Amplifier

   • Shruti Jain

   Pages 265-273

7. DFT and Wavelet Based Smart Virtual Measurement and Assessment of Harmonics in Distribution Sector

   • Haripriya H. Kulkarni, D. G. Bharadwaj

   Pages 275-284

8. Addressing Object Heterogeneity Through Edge Cluster in Multi-mode Networks

   • Shashikumar G. Totad, A. Smitha Kranthi, A. K. Matta

   Pages 285-292

9. Microstrip Patch Antenna with Defected Ground Plane for UWB Applications

   • Bharat Rochani, Rajesh Kumar Raj, Sanjay Gurjar, M. SantoshKumar Singh

   Pages 293-302

10. An Enhanced K-means Clustering Based Outlier Detection Techniques to Improve Water Contamination Detection and Classification

    • S. Visalakshi, V. Radha

    Pages 303-313

11. A System for Recognition of Named Entities in Odia Text Corpus Using Machine Learning Algorithm

    • Bishwa Ranjan Das, Srikanta Patnaik, Sarada Baboo, Niladri Sekhar Dash

    Pages 315-324

12. A New Grouping Method Based on Social Choice Strategies for Group Recommender System

    • Abinash Pujahari, Vineet Padmanabhan

    Pages 325-332

13. An Improved PSO Based Back Propagation Learning-MLP (IPSO-BP-MLP) for Classification

    • D. P. Kanungo, Bighnaraj Naik, Janmenjoy Nayak, Sarada Baboo, H. S. Behera

    Pages 333-344

14. GDFEC Protocol for Heterogeneous Wireless Sensor Network

    • S. Swapna Kumar, S. Vishwas

    Pages 345-354

15. An ANN Model to Classify Multinomial Datasets with Optimized Target Using Particle Swarm Optimization Technique

    • Nilamadhab Dash, Rojalina Priyadarshini, Rachita Misra

    Pages 355-364

16. Novel Approach: Deduplication for Backup Systems Using Data Block Size

    • K. J. Latesh Kumar, R. Lawrance

    Pages 365-373

17. Segmentation Google Earth Imagery Using K-Means Clustering and Normalized RGB Color Space

    • Nesdi Evrilyan Rozanda, M. Ismail, Inggih Permana

    Pages 375-386

18. Texture Based Associative Classifier—An Application of Data Mining for Mammogram Classification

    • Deepa S. Deshpande, Archana M. Rajurkar, Ramchandra R. Manthalkar

    Pages 387-400

19. Particle Swarm Optimization Based Higher Order Neural Network for Classification

    • Janmenjoy Nayak, Bighnaraj Naik, H. S. Behera, Ajith Abraham

    Pages 401-414

20. K-Strange Points Clustering Algorithm

    • Terence Johnson, Santosh Kumar Singh

    Pages 415-425

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.

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

• 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

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 withvarious 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. Heis going to receive the Bharat Sikshya Ratan Award for significant contribution in academics awarded by the Global Society for Health and Educational Growth, Delhi.

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