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Dr. Jyothi Pillai

Professor

jyothi.pillai@bitdurg.ac.in

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 Ph.D., MCA, B.Sc. (Mathematics)
E-Mail jyothi.pillai@bitdurg.ac.in
Contact Number Extension No.: 512, Global Directory No.: 8227
Areas of Interest

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

Publications

    INTERNATIONAL JOURNALS

    • Jyothi Pillai, Anurag Malaki, A Review on Online Fraud Detection using Machine Learning, International Research Journal of Engineering and Technology (IRJET), e-ISSN: 2395-0056,  p-ISSN: 2395-0072, Volume: 08 Issue: 09, Sep 2021, www.irjet.net, pp 99-104.
    •  Jyothi Pillai, Anurag Malaki, Credit Card Fraud Detection through Machine Learning using Python, International Journal of Scientific Research in Engineering and Management (IJSREM), ISSN: 2582-3930, Volume: 06 Issue: 05, May – 2022, www.ijsrem.com, pp 1-7.
    • Jyothi Pillai, Babita Verma, Shubham Samanta, Vaibhav Saxena, V Rahul, Indian Railways - Optimal Route Finding For Passengers,  Shodhasamhita : Journal of Fundamental & Comparative Research, Journal of Kavikulaguru Kalidas Sanskrit University, Ramtek Vol. VIII, No. 1(XII) : 2022 ISSN: 2277-7067, pp 143-150.
    • Jyothi Pillai, Babita Verma, Text Mining Techniques for Information Extraction: Issues and Applications, International Journal of Computer Sciences and Engineering, Volume 7, Issue 1, January 2019, ISSN 2347-2693.
    • Jyothi Pillai. Somen Roy, Partha Roy, S.P.Shukla, A Comprehensive survey on various sentiment analysis techniques by Machine Learning, Research Journal of Computer and Information Technology Sciences, International Science Community Association, ISSN: 2320-6527, Volume 9, Issue 1, June 2021.
    • Jyothi Pillai, Aditya Tiwari, R.R.Janghel, “Predictive Analytics in E- commerce Data sets by incorporating the features of Association Rule Mining by MapReduce Approach of Hadoop” International Journal of Management, Technology And Engineering(IJMTE), UGC Approved Journal S.No. 45550, Volume IX, Issue III, March 2019, ISSN NO: 2249-7455, pages 1115-1125.
    • Jyothi Pillai, Aditya Tiwari, Monica Makhija, Daljeet Choudhary, A Literature Survey to identify high profitable items from E-commerce data sets, International Journal of Advance Management, Technology and Engineering Services (IJAMTES), ISSN: 2249-7455, Volume 8, Issue 3, March 2018.
    • Jyothi Pillai, Rubi Kambo, Agriculture Commodity Price Forecasting using Soft Computing Techniques: A Survey, International Journal of Advance Management, Technology and Engineering Services (IJAMTES), ISSN: 2249-7455, Volume 8, Issue 3, March 2018.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
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