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Jyothi Pillai
Jyothi Pillai
Professor, Department of Information Technology, Bhilai Institute of Technology
Verified email at bitdurg.ac.in
Title
Cited by
Cited by
Year
Overview of itemset utility mining and its applications
J Pillai, OP Vyas
International Journal of Computer Applications 5 (11), 9-13, 2010
682010
User centric approach to itemset utility mining in Market Basket Analysis
J Pillai, OP Vyas
International Journal on Computer Science and Engineering 3 (1), 393-400, 2011
312011
High utility rare item set mining (HURI): an approach for extracting high utility rare item sets
J Pillai, OP Vyas
Journal on Future Engineering and Technology 7 (1), 1, 2011
192011
An associative classifier using weighted association rule
S Soni, J Pillai, OP Vyas
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC …, 2009
192009
A conceptual approach to temporal weighted itemset utility mining
J Pillai, OP Vyas, S Soni, M Muyeba
International Journal of Computer Applications 28, 0887-0895, 2010
182010
Huri–a novel algorithm for mining high utility rare itemsets
J Pillai, OP Vyas, M Muyeba
Advances in Computing and Information Technology: Proceedings of the Second …, 2013
162013
Usage of nearest neighborhood, decision tree and Bayesian classification techniques in development of weight management counseling system
S Soni, J Pillai
2008 First International Conference on Emerging Trends in Engineering and …, 2008
92008
A Fuzzy Algorithm for Mining High Utility Rare Itemsets-FHURI
J Pillai, OP Vyas, MK Muyeba
International Journal on Recent Trends in Engineering & Technology 10 (1), 1, 2014
82014
CSHURI-modified HURI algorithm for customer segmentation and transaction profitability
J Pillai, OP Vyas
arXiv preprint arXiv:1205.1609, 2012
72012
Transaction profitability using huri algorithm [tphuri]
J Pillai, OP Vyas
International Journal of Business Information Systems 2 (1), 2013
52013
Encapsulation of Soft Computing Approaches within Itemset Mining–A Survey
BJ Pillai, OP Vyas
Global Journal of Computer Science and Technology Software & Data …, 2012
52012
Weighted Association Rule2009 International Symposium on Innovations in natural Computing
S Soni, J Pillai
World Congress on Nature & Biologically Inspired Computing (NaBIC 2009), 978-1, 0
4
A Naïve Approach to High Utility Rare Itemset Mining Algorithm using Temporal Concept–THURI
J Pillai, OP Vyas
Int. J. of Advanced Research in Comput. and Communicat. Eng 3 (3), 2014
22014
OP Vyas Overview of Itemset Utility Mining and its Applications IJCA (0975 8887) Volume 5 No. 11
J Pillai
August, 2010
22010
HURI–A Novel Algorithm for Mining High Utility Rare Itemsets, Advances in Computing and Information Technology, Volume: 177, 2012
J Pillai, OP Vyas, M Muyeba
Springer-Verlag Berlin Heidelberg, springer-link. com, 0
2
A Naive Approach for Prediction of Sectorial Stock Market
N Kharya, J Pillai
Advances in Computing and Information Technology: Proceedings of the Second …, 2013
12013
INDIAN RAILWAYS - OPTIMAL ROUTE FINDING FOR PASSENGERS
B Verma, J Pillai, S Samanta, V Saxena, V Rahul
Shodhasanhita : Journal of Fundamental & Comparative Research 8 (1(XII …, 2022
2022
A comprehensive survey on various sentiment analysis techniques by machine learning
S Roy, J Pillai, SP Roy, Partha and Shukla
Research Journal of Computer and Information Technology Sciences 9 (1), 1-5, 2021
2021
A Review on Online Fraud Detection using Machine Learning
J Pillai, M Anurag
International Research Journal of Engineering and Technology (IRJET) 8 (09 …, 2021
2021
A machine learning approach for engineering optimization tasks
A Rawal, M Singh, J Pillai
Modern Optimization Methods for Science, Engineering and Technology, 13-1-13-27, 2019
2019
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