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Dr. Jyothi Pillai

Professor

jyothipillai71@gmail.com

Dr. Jyothi Pillai is a Professor at Bhilai Institute of Technology (BIT) Durg. She did her B.Sc., MCA and Ph.D. in Computer Science& Information Technology. She has joined Bhilai Institute of Technology (BIT) Durg in the capacity of Associate Professor in 2001. She has presented and published 30 research papers in National /International Conferences and impact factor Journals. She has been invited in various conferences and the findings of her research has been prese4nted in National and International conferences. Her research area mainly focuses on Data Mining, Soft Computing Software Engineering, and Big Data Analytics. She has organized many National level Conferences. Presently Dr. Jyothi Pillai is guiding 03 PhD scholars at CSVTU, Bhilai. She is a Life Member of Indian Society for Technical Education (ISTE) from the year 2004. She has done her Ph.D. in Computer Science & Information Technology, from Pt. Ravishankar Shukla University, Raipur, Chhattisgarh, India, under the guidance of Prof. O.P.Vyas, International Institute of Technology, Raipur, Chhattisgarh, India (Thesis entitled, “EXPLORATION OF SOFT COMPUTING APPROACHES IN TEMPORAL ITEMSET UTILITY MINING"). Doctorate Degree was awarded to Dr. Jyothi Pillai in August 2016.

Dr. Jyothi Pillai

Employee ID 10070
Date of Joining 03-09-2001
Nature of Association Regular
Department Information Technology
Designation Professor
Educational Qualification B.Sc., MCA and Ph.D. in Computer Science & Information Technology
E-Mail jyothipillai71@gmail.com
Contact Number 9300827591
Areas of Interest

Data Mining, Soft Computing, Big Data Analytics, Business Intelligence

Publications
    INTERNATIONAL JOURNALS NATIONAL JOURNAL CONFERENCE INTERNATIONAL CONFERENCE NATIONAL BOOK PUBLISHED
    17 0 8 8 1

    INTERNATIONAL JOURNALS

    1. Jyothi Pillai, User centric approach to Itemset Utility Mining in Market Basket Analysis, International Journal on Computer Science and Engineering (IJCSE), ISSN: 0975-3397, Vol. 3, No. 1, Jan. 2011, pp 393-400.

    2. Jyothi Pillai, Neeraj Kharya, A Naïve approach for stock market Prediction, Advances in Computing and Information Technology, Advances in Intelligent Systems and Computing, ISSN 2194-5357, Volume 178, 2012, pp 195-204, @ Springer-Verlag Berlin Heidelberg, springer-link.com.

    3. Jyothi Pillai, O.P. Vyas, Overview of Itemset Utility Mining and its Applications, International Journal of Computer Applications (0975 – 8887), Volume 5, No.11, August 2010, pp 9-13.

    4. Jyothi Pillai, O.P. Vyas, High Utility Rare Item Set Mining (HURI): An Approach for Extracting High Utility Rare Item Sets, Journal on Future Engineering and Technology, Volume 7 (1), i-manager Publications – Oct 1, 2011.

    5. Jyothi Pillai, O.P.Vyas, CSHURI – Modified HURI algorithm for Customer Segmentation and Transaction Profitability, International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.2, No.2, April 2012, pp 79-89.

    6. Jyothi Pillai, O.P.Vyas, Encapsulation of Soft Computing Approaches within Itemset Mining – A Survey, Global Journal of Computer Science and Technology, Software & Data Engineering, Volume 12, Issue 15, Version 1.0, Year 2012, Publisher: Global Journals Inc. (USA), Online ISSN: 0975-4172, Print ISSN: 0975-4350, pp 17-27.

    7. Jyothi Pillai, O.P. Vyas, Transaction Profitability using HURI [TPHURI], International Journal of Business Information Systems Strategies (IJBISS), ISSN: 2201-4152, Wirella Scientific Publications, Volume 2, Number 1, November 2013, pp 1-9.

    8. Jyothi Pillai, O.P. Vyas, A Naïve Approach to High Utility Rare Itemset Mining Algorithm using Temporal Concept – THURI, International Journal of Innovative Research in Computer and Communication Engineering(IJIRCCE), ISSN(Print): 2320-9798, ISSN(Online): 2320-9801, Volume 3, Issue 3, March 2014, pp 5835-5840.

    9. Jyothi Pillai, Temporal High Utility Rare Itemset Mining using Fuzzy Approach – FTHURI algorithm, IRACST - International Journal of Computer Science and Information Technology & Security (IJCSITS), ISSN: 2249-9555 Vol.7, No.2, March-April 2017, pp 39-43.

    10. Jyothi Pillai, O. P. Vyas; Maybin Muyeba, HURI – A Novel Algorithm for Mining High Utility Rare Itemsets, Advances in Computing and Information Technology, Volume: 177, 2012, pp 531-540, @ Springer-Verlag Berlin Heidelberg, springer-link.com.

    11. Jyothi Pillai, O.P. Vyas, Maybin Muyeba, A Fuzzy Algorithm for Mining High Utility Rare Itemsets – FHURI, International Journal of Recent Trends in Engineering and Technology, ISSN:2158-5555(Print), ISSN: 2158-5563(Online), Vol. 10, No. 1, Jan 2014, Fifth International Joint Journal Conference in Computer, Electronics and Electrical, CEE 2013, pp 1-11.

    12. J. Pillai, O.P. Vyas, S. Soni, M. Muyeba, “A Conceptual Approach to Temporal Weighted Itemset Utility Mining”, 2010 International Journal of Computer Applications (0975 - 8887), Volume 1, No. 28, pp 55-60.

    13. Jyothi Pillai, Sunita Soni, O.P.Vyas, An Associative Classifier Using Weighted Association Rule, Proceedings of International Symposium on Innovations in Natural Computing published by 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC 2009) 978-1-4244-5612-3/09/$26.00 c_2009 IEEE and IEEE-Xplore.

    14. Jyothi Pillai, Sunita Soni, An Expert Case-Based System using Decision Tree Induction for Weight Management Counseling To Obese children, International Journal of Computer science and Applications, August 08, Volume-1, pp 117-120.

    INTERNATIONAL CONFERENCE

    1. Jyothi Pillai, Sunita Soni, O.P.Vyas, The Predictive Analytics using Innovative Data Mining approach, International Conference on Advanced data Analysis, Business Analytics and Intelligence, IIM, Ahmadabad, Gujarat 6th-7th June’09.

    2. Jyothi Pillai, Sunita Soni, A Case-Based Expert System For Weight Management Counseling To Obese Children, Proceedings of International Conference on Resource Utilization and Intelligent Systems INCRUIS’08, Kongu Engg. College, Erode, Tamil Nadu, 3rd- 5th Jan.’08.

    3. Jyothi Pillai, Sunita Soni, An Expert Case-Based System using Decision Tree Induction for Weight Management Counseling To Obese Children, Proceedings of International Conference on Advance Computing Anuradha Engineering College, Chikhli, Maharashtra.

    4. Jyothi Pillai, Sunita Soni, Usage of Nearest Neighborhood, Decision Tree and Bayesian Classification Techniques in Development of Weight Management Counseling System, Proceedings of International Conference on Emerging Trends in Engineering and Technology-ICETET’08, G.H.Raisoni College, Nagpur on 16th – 18th July 2008 and IEEE-Xplore, IEEE Computer Society On-line store (CSDL) Digital Libraries, IEE INSPEC, EI(Compendex), Thomson ISI. Jyothi Pillai, Sunita Soni, Usage of Nearest Neighborhood, Decision Tree and Bayesian Classification Techniques in Development of Weight Management Counseling System, IEEE Digital Library September 2008.

    CONFERENCE NATIONAL

    1. Jyothi Pillai, Puja Dani, A Case Based Approach for Counseling to Malnutrition Problem, Proceedings of National Conference on Managing Complexity in Informative World, BITCON’08, BIT, Durg, 7th-8th Nov.’08. Jyothi Pillai, Sunita Soni, Multi-relational Classifiers: A survey, Proceedings of Colloquium on Mobile communication and Data and Knowledge Engineering, School of Studies, Pt. Ravi Shankar Shukla University, Raipur, 02-03 January 2009.

    2. Jyothi Pillai, Sunita Soni, Case Representation and Retrieval in Weight Management Counseling to obese children: A Semi-Fuzzy Approach, Proceedings of National Conference on Managing Complexity in Informative World, BITCON’08, BIT, Durg, 7th-8th Nov.’08.

    3. Jyothi Pillai, Sunita Soni, A Case-Based Framework For Weight Management Counseling To Obese Children, Proceedings of National Conference on Technological Advancements in Processing and Decision Making, BITCON-07, 16th – 17th March 2007.

    4. Jyothi Pillai, Sunita Soni, A Case-Based System using Naive Bayesian Classification for Treatment of Pediatric Obesity, Proceedings of National Conference on Information security: Practice and Challenges(ISPC-08), Guru Ghasidas University, Bilaspur, 9th-10th Feb.’08.

    5. Jyothi Pillai, Ruby Kambo, “A Literature Survey of Soft Computing in Agriculture”, Proceedings of National Conference on Research Challenges in Applications of Computing towards Digitization of India -BITCON 2017, BIT, Durg, 28th March 2017.

    6. Jyothi Pillai, Aditya Tiwari, “User centric approach to Itemset Utility Mining for Analysis of Ecommerce Data”, Proceedings of National Conference on Research Challenges in Applications of Computing towards Digitization of India -BITCON 2017, BIT, Durg, 28th March 2017.

    BOOKS PUBLISHED

    1. Jyothi Pillai, Sanjeev Karmakar, Sunita Soni, Advanced Computer Applications for Digital India: Proposal in the Context of Chhattisgarh State (Central India), 978-93-5258-574-8, June- 2016.

    BOOK CHAPTER

    1. Jyothi Pillai, O.P. Vyas, Exploration of Soft Computing Approaches in Itemset Mining, Book Chapter entitled Emerging Methods in Predictive Analytics: Risk management and Decision making, IGI Global publisher, Book: ISSN 2327-1981 (Chapter12), pp 270-296, July-2014.

     

     

     

     

     

Other Info.

Other Responsibilities:

    1. Member of DRC Committee (Computer Applications)


Felowship/Awards/Other recognitions:

    1. Distinguished Woman in Science Award given by Venus International Foundation in Annual Women Meet(AWM) held in Chennai, March 2018