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Kalpana Parasuraman
Kalpana Parasuraman
Assistant Professor, Department of Computer Science, Christ (Deemed to be University), Bangalore
Verified email at christuniversity.in
Title
Cited by
Cited by
Year
An Efficient Feature Selection based on Bayes Theorem, Self Information and Sequential Forward Selection
K Mani, P Kalpana
International Journal of Information Engineering and Electronic Business 8 …, 2016
182016
A Review on Filter Based Feature Selection
K Mani, P Kalpana
International Journal of Innovative Research in Computer and Communication …, 2016
182016
An Exploratory Analysis between the Feature Selection Algorithms IGMBD and IGChiMerge
P Kalpana, K Mani
International Journal of Information Technology and Computer Science(IJITCS …, 2017
42017
A Filter-based Feature Selection using Information Gain with Median Based Discretization for Naive Bayesian Classifier
P Kalpana, K Mani
International Journal of Applied Engineering Research, 10 (82), 280-285, 2015
42015
A New Hybrid Framework for Filter based Feature Selection using Information Gain and Symmetric Uncertainty
P Kalpana, K Mani
International Journal of Engineering Transactions B: Applications 30 (5 …, 2017
32017
An investigation and analysis on automatic speech recognition systems
RV Siva Balan, K Vignesh, T Jose, P Kalpana, R Jothikumar
Journal of Autonomous Intelligence 7 (3), 1-13, 2024
2024
Python Programming Essentials - Learn by Doing
P Kalpana, G Arockia Sahaya Sheela, P Sumathi
2023
The Role of Big Data in Predicting Consumer Behavior
RV Siva Balan, P Kalpana
BIG DATA: A Road-Map for Successful Digital Marketing, 111-132, 2023
2023
Birthday Attack: Enhancing Password Protection using Novel Approaches to Hash Code Formation
T Jose, P Kalpana, J Loveline Zeema, BM Babu
4th International Conference on Artificial Intelligence Trending Towards …, 2023
2023
A Primer to Python Programming (Code Yourself)
M Muralidharan, PA Lakshmi, P Kalpana, V Priya
2022
A Robust Feature Selection based on Bayes Theorem, Self Information and Symmetric Uncertainty for Improving the Performance of Naive Bayesian Classifier
P Kalpana, K Mani
International Journal of Data Mining and Emerging Technology 7 (2), 74-81, 2017
2017
RELIEF-NCM: A Feature Selection Method for Enhancing Naive Bayesian Classifier
P Kalpana, K Mani
INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING 5 …, 2017
2017
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