Takip et
Jyothi Pillai
Jyothi Pillai
Professor, Department of Information Technology, Bhilai Institute of Technology
bitdurg.ac.in üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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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Makaleler 1–20