Dr.KAVITHA C R

HOD&Associate Professor
PhD in Computer Science from Bharathiyar University, Coimbatore
MBA from IGNOU
M.Phil (ComputerScience)
M.C.A
Bsc. Maths
Experience
Administrative Experience:
SNGIST Arts & Science College 15/1/2024 onwards
Manakkapady
Principal
1/10/2004-14/1/2024
Sree Narayana Guru Institute of Science and Technology (SNGIST),
Thekkethazham, Mannam P.O,
Ernakulam Dist. Phone: 0484-2440220, 2440299 Asst. Prof, MCA
HOD,MCA
Carried out HOD duties from 2015 onwards.
Publications & Presentations
NCACA2011,ProceedingsofNCACA,2011
[4]Kavitha C.R, Shidha M.V, Sunitha Mary Thomas, A data mining approach to improve students learning using IVT in OLMS, CTCSA 2012, Proceedings of CTCSA,2012 [5]Kavitha C.R, Jino P John, Shidha M.V, ‘DMeL model – An E-learning Model using Data Mining Techniques in Management Education’, National Seminar on “Strategic Restructuring of Management Education, 2012 [6]KavithaC.R,Dr.TMahalekshmi,‘Chemical Databases:A BriefWalk’,publishedin IJETAE,theinternationaljournalofemergingtechnologyandadvancedengineering, in the August issue, 2013. [7]Kavitha C.R, Dr. T Mahalekshmi,’Chemical File Format Conversion Tools: an overview’, published in IJERT, the international journal of engineering research and technology, in the February issue, 2014.- Kavitha C.R, Dr. T Mahalekshmi,’ A Comparative Study of Classification Algorithms on Aliphatic Carboxylic Acids Data Set using WEKA’, published in IJESE, the international journal of emerging science and engineering, in the May issue, 2015
- Kavitha C.R, Dr. T Mahalekshmi,’Role of Pre-Processing in a Conceptual Framework for Toxicity Prediction’, published inGE-International Journal of Engineering Research Vol. 4, Issue 1, Jan 2016 IF- 4.007 ISSN: (2321-1717) © Associated Asia Research Foundation (AARF) Publication
- R,Dr.T.Mahalekshmi,FEATURESELECTIONMETHODS FOR
CLASSIFICATION–ACOMPARISON,IJRET:InternationalJournalofResearchin Engineering and Technology,5,12,130-137.
- Kavitha C.R, Dr. T Mahalekshmi,’Chemical File Format Conversion Tools: an Overview’,TheInternationalJournalofEngineeringResearchandTechnology, 3(2):2111-2117,February, 2014.
- Kavitha C.R, Dr. T Mahalekshmi,’ A Comparative Study of Classification Algorithms on Aliphatic Carboxylic Acids Data Set using WEKA’, The International JournalofEmergingScienceandEngineering,3(7):25-29,May, 2015
- Kavitha C.R, Dr. T Mahalekshmi,’ Performance Comparison based on Attribute Selection Techniques of WEKA and ROSE Tools’, International Journal of InnovativeResearchinComputerandCommunicationEngineering’,4(10):17909- 17921, October 2016
- R,Dr.TMahalekshmi,’RoughSetApproachforFeatureSelectionand Generation of Classification Rules of Hypothyroid Data’, Journal of Advanced Scientific Research, 7(2):15-19, May 2016, Impact Factor:0.567
- Kavitha C.R, Dr. T Mahalekshmi,’ Feature Selection using ReliefF with Forward SelectionforthePredictionofBreastCancer’,Gurukulam InternationalJournalof Innovations in Science and Engineering, 1(2):53-58, July 2016
- R,Dr.TMahalekshmi,’FeatureSelectionMethodsforClassification–a Comparison’, International Journal of Research in Engineering and Technology, 6(6):130-137,June 2017
- KavithaC R,Soni P.M, Dr. Mahalekshmi T and Dr. Vargheese Paul,’A Stacking Framework for the Prediction of Binary Classification Problems’, International JournalofCivilEngineeringandTechnology,8(5):692-702,ImpactFactor:4.19,
May2017
- Kavitha C.R, Dr. T Mahalekshmi,’ A Novel Multistep Stacking Ensemble Framework for the Prediction of Binary Classification Problems in Health Care’, JourofAdvResearchinDynamical&ControlSystems,Vol.10,01-SpecialIssue, 2018
- R,Dr.TMahalekshmiT,’MPLRFS-EnsembleFeatureSelectionto Improve Stacking Performance’, JASC: Journal of Applied Science and Computations,Volume 5, Issue 11, November/2018
- Kavitha C.R and Mahalekshmi.T , SVMFILEFS- a Novel Ensemble Feature SelectionTechniqueforeffectiveBreastCancerDiagnosis, InternationalJournalof
CivilEngineeringandTechnology,9(11),2018,pp.1526–1533.
KavithaC.RandMahalekshmi.T,PerformanceEvaluationofPredictiveClassifiers after Ensemble Feature Selection for Breast Cancer, Proceedings of NCAC-2019, Department of Computer Science, Bharathiar University



