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Dr.T Miranda Lakshmi
Dr.T Miranda Lakshmi
Asst.Proffessor, PG and Research Department of Computer Science
Verified email at sjctnc.edu.in
Title
Cited by
Cited by
Year
A survey on multi criteria decision making methods and its applications
M Aruldoss, TM Lakshmi, VP Venkatesan
American Journal of Information Systems 1 (1), 31-43, 2013
6642013
A survey on recent research in business intelligence
M Aruldoss, M Lakshmi Travis, V Prasanna Venkatesan
Journal of Enterprise Information Management 27 (6), 831-866, 2014
1362014
An analysis on performance of decision tree algorithms using student’s qualitative data
TM Lakshmi, A Martin, RM Begum, VP Venkatesan
International journal of modern education and computer science 5 (5), 18-27, 2013
1242013
A comparison of various normalization in techniques for order performance by similarity to ideal solution (TOPSIS)
TM Lakshmi, VP Venkatesan
International Journal of Computing Algorithm 3 (3), 255-259, 2014
392014
An information delivery model for banking business
A Martin, TM Lakshmi, VP Venkatesan
International Journal of Information Management 34 (2), 139-150, 2014
382014
Identification of a better laptop with conflicting criteria using TOPSIS
TM Lakshmi, VP Venkatesan, A Martin
International Journal of Information Engineering and Electronic Business 7 …, 2015
312015
A genetic bankrupt ratio analysis tool using a genetic algorithm to identify influencing financial ratios
TM Lakshmi, A Martin, VP Venkatesan
IEEE Transactions on Evolutionary Computation 20 (1), 38-51, 2015
262015
An analysis of students performance using genetic algorithm
TM Lakshmi, A Martin, VP Venkatesan
Journal of Computer Sciences and Applications 1 (4), 75-79, 2013
252013
An analysis on qualitative bankruptcy prediction rules using ant-miner
A Martin, TM Lakshmi, VP Venkatesan
IJ Intelligent System and Applications 1, 36-44, 2014
222014
An analysis on business intelligence models to improve business performance
A Martin, TM Lakshmi, VP Venkatesan
IEEE-International Conference On Advances In Engineering, Science And …, 2012
192012
An identification of better engineering college with conflicting criteria using adaptive TOPSIS
TM Lakshmi, VP Venkatesan, A Martin
International Journal of Modern Education and Computer Science 8 (5), 19, 2016
142016
A study on different types of normalization methods in adaptive technique for order preference by similarity to ideal solution (TOPSIS)
TM Lakshmi, AJ Anand, K Vetriselvi, VP Venkatesan
International Journal of Engineering Research & Technology (IJERT) 4 (5), 2016
142016
A business intelligence framework for business performance using data mining techniques
A Martin, TM Lakshmi, VP Venkatesan
2012 International Conference on Emerging Trends in Science, Engineering and …, 2012
112012
An analysis on qualitative bankruptcy prediction using fuzzy ID3 and ant colony optimization algorithm
A Martin, V Aswathy, S Balaji, TM Lakshmi, VP Venkatesan
International Conference on Pattern Recognition, Informatics and Medical …, 2012
102012
A study on evaluation metrics for multi criteria decision making(MCDM) METHODS- TOPSIS, COPRAS & GRA
DTM Lakshmi
International journal of Computing Algorithms 7 (1), 29-37, 2018
82018
Multi agent communication system for online auction with decision support system by jade and trace
A Martin, TM Lakshmi, J Madhusudanan
arXiv preprint arXiv:1109.1093, 2011
72011
To find most impact financial features on bankruptcy models using genetic algorithm
A Martin, TM Lakshmi, VP Venkatesan
Proceedings of International Conference on Advances in Engineering and …, 2011
72011
To find best bankruptcy model using genetic algorithm
A Martin, J Madhusudhnan, TM Lakshmi, VP Venkatesan
CiiT International Journal of Artificial Intelligent Systems and Machine …, 2011
42011
Review on Density Based Clustering algorithm for big data
DTM Lakshmi
International journal of data mining techniques and applications 7 (1), 2018
32018
A Framework to Develop Qualitative Bankruptcy Prediction Rules Using Swarm Intelligence
A Martin, TM Lakshmi, VP Venkatesan
St. Joseph’s Journal of Humanities and Science 1 (1), 73-81, 2014
22014
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