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© 2019

Computational Intelligence in Data Mining

Proceedings of the International Conference on CIDM 2017

  • Himansu Sekhar Behera
  • Janmenjoy Nayak
  • Bighnaraj Naik
  • Ajith Abraham
  • Contains current research issues of developments of soft computing, data mining and computational intelligence

  • Presents applications of current issues of research in green computing, big data analysis and nature inspired computing

  • Introduces attractive resource to meet new research challenges and problem findings in data mining

Conference proceedings

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 711)

Table of contents

  1. Front Matter
    Pages i-xxix
  2. K. Lavanya, L. S. S. Reddy, B. Eswara Reddy
    Pages 19-30
  3. Prabhat Keshari Samantaray, Navjeet Kaur Randhawa, Swarna Lata Pati
    Pages 31-40
  4. Jyotirmayee Rautaray, Asutosh Hota, Sai Sankar Gochhayat
    Pages 51-62
  5. Bikram Keshari Mishra, Amiya Kumar Rath
    Pages 63-75
  6. Kamal Nayan Kaur, Divya, Ishu Gupta, Ashutosh Kumar Singh
    Pages 77-86
  7. Tata Venkat Dixit, Anamika Yadav, Shubhrata Gupta
    Pages 87-97
  8. Arunima Hota, Subasish Mohapatra, Subhadarshini Mohanty
    Pages 99-110
  9. Priyanka Kumari, Smita Prava Mishra
    Pages 111-122
  10. Priyanka Kumari, Sudip Kumar Sahana
    Pages 123-134
  11. Nawdha Thakoor, Dhiren Kumar Behera, Désiré Yannick Tangman, Muddun Bhuruth
    Pages 135-143
  12. Debasis Mohapatra, Manas Ranjan Patra
    Pages 145-154
  13. S. N. Panda, S. Panda, D. S. Khamari, P. Mishra, A. K. Pattanaik
    Pages 155-164
  14. Mohammed N. M. Ali, M. M. Hafizur Rahman, Dhiren K. Behera, Yasushi Inoguchi
    Pages 165-175
  15. Sampada Chaudhari, Amol Bhagat, Nitesh Tarbani, Mahendra Pund
    Pages 177-190

About these proceedings

Introduction

The International Conference on “Computational Intelligence in Data Mining” (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration. The best selected conference papers are reviewed and compiled to form this volume. The proceedings discusses the latest solutions, scientific results and methods in solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. The volume presents a sneak preview into the strengths and weakness of trending applications and research findings in the field of computational intelligence and data mining along with related field. 

Keywords

Computational Intelligence CIDM 2017 ICCIDM Conference Proceedings Data Mining Fuzzy Logic Machine Learning Advance Computing Pattern Recognition Big Data Analysis

Editors and affiliations

  • Himansu Sekhar Behera
    • 1
  • Janmenjoy Nayak
    • 2
  • Bighnaraj Naik
    • 3
  • Ajith Abraham
    • 4
  1. 1.Department of Computer Science and Engineering & Information TechnologyVeer Surendra Sai University of TechnologySambalpurIndia
  2. 2.Department of Computer Science and EngineeringSri Sivani College of Engineering (SSCE)SrikakulamIndia
  3. 3.Department of Computer ApplicationVeer Surendra Sai University of TechnologySambalpurIndia
  4. 4.Machine Intelligence Research (MIR) LabAuburnUSA

About the editors

Prof. Himansu Sekhar Behera is working as a Associate Professor 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 and three scholars have awarded under his guidance.

Dr. Janmenjoy Nayak is working as an Associate Professor, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India. He has been awarded INSPIRE Research Fellowship from Department of Science & Technology, Govt. of India (both as JRF and SRF level) for doing his Doctoral Research in the Department of Computer Sc. Engineering & Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha, India. He completed his M.Tech. degree (Gold Medalist & Topper of the Batch) in Computer Science from Fakir Mohan University, Balasore, Odisha, India and M. Sc. degree (Gold Medalist & Topper of the Batch) in Computer Science from Ravenshaw University, Cuttack, Odisha, India . He has published more than 50 research papers in various reputed peer reviewed International Conferences, Referred Journals and Book Chapters. He has also published one Text book on “Formal Languages and Automata Theory” in Vikash Publishing House Pvt. Ltd., which has been widely acclaimed throughout the country and abroad by the students of all levels. He is the recipient of “Young Faculty in Engineering” award from Centre of Advance Research and Design, VIFA-2017, Chennai, India, for exceptional academic records and research excellence in the area of Computer Science and Engineering. He has been serving as an active member of reviewer committee of various reputed peer reviewed journals such as IET Intelligent Transport Systems, Journal of Classification, Springer, International Journal of Computational System Engineering, International Journal of Swarm Intelligence, International Journal of Computational Science and Engineering, International Journal of Data Science etc. He is the life member of some of the reputed societies like CSI, India, OITS, OMS, IAENG (Hong Kong) etc. His area of interest includes data mining, nature inspired algorithms and soft computing.

Dr. Bighnaraj Naik is an Assistant Professor in the Department of Computer Applications, Veer Surendra Sai University of Technology, Burla, Odisha, India. He received his Doctoral degree from the Department of Computer Sc. Engineering & Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha, India, Master degree from Institute of Technical Education and Research, SOA University, Bhubaneswar, Odisha, India and Bachelor degree from National Institute of Science and Technology, Berhampur, Odisha, India. He has published more than 50 research papers in various reputed peer reviewed International Conferences, Referred Journals and Book Chapters. He has more than eight years of teaching experience in the field of Computer Science and Information Technology. He is the life member of International Association of Engineers (Hong Kong). His area of interest includes Data Mining, Soft Computing, etc. He is the recipient of “Young Faculty in Engineering” award for the year 2017 from Centre of Advance Research and Design, VIFA-2017, Chennai, India, for exceptional academic records and research excellence in the area of Computer Science and Engineering. He has been serving as an active member of reviewer committee of various reputed peer reviewed journals such as Swarm and Evolutionary Computation, Elsevier, Journal of King Saud University, Elsevier, International Journal of Computational System Engineering, Inderscience, International Journal of Swarm Intelligence, Inderscience, International Journal of Computational Science and Engineering, Inderscience, International Journal of Data Science, Inderscience, etc. Currently, He is serving as Editor of the book entitled “Information Security in Biomedical Signal Processing”, Publisher: IGI-Global, USA. Also He is the Guest Editor of International Journal of Computational Intelligence Studies, Inderscience Publication, and International Journal of Data Science and Analytics, Springer.

Prof. Ajith Abraham received the M.S. degree from Nanyang Technological University, Singapore, and the Ph.D. degree in Computer Science from Monash University, Melbourne, Australia. He is currently a Research Professor at the Technical University of Ostrava, Czech Republic. He is also the Director of Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, which has members from more than 75 countries. He serves/has served the editorial board of over 50 International journals and has also guest edited 40 special issues on various topics. He is an author / co-author of more than 700 publications and some of the works have also won best paper awards at international conferences and also received several citations. Some articles are available in the ScienceDirect Top 25 hottest articles. He serves the IEEE Computer Society’s Technical Committee on Scalable Computing and was the General Chair of the 8th International Conference on Pervasive Intelligence and Computing (PICOM 2009) and 2nd International Conference on Multimedia Information Networking and Security (MINES 2010). He is also the General Co-chair of MINES 2011. Since 2008, he is the Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. Dr. Abraham is a Senior Member of the IEEE, the IEEE Computer Society, the Institution of Engineering and Technology (UK) and the Institution of Engineers Australia (Australia), etc. He is the founder of several IEEE sponsored annual conferences, which are now anual events – Hybrid Intelligent Systems (HIS – 11 years); Intelligent Systems Design and Applications (ISDA – 11 years); Information Assurance and Security (IAS – 7 years); Next Generation Web Services Practices (NWeSP – 7 years), Computational Aspects of Social Networks (CASoN – 3 years), Soft Computing and Pattern Recognition (SoCPaR – 3 years), Nature and Biologically Inspired Computing (NaBIC – 3 years) are some examples.

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