Dr. M .Meena Krithika M.Sc., M.Phil., Ph.D

Assistant Professor

Myself , Dr. M.Meena Krithika Working as an Assistant Professor in Department of Computer Science (SF) from 2013 Onwards.(12 years ) My research area is Data mining – clustering and machine learning .Research publication papers- 14, I have attended and partcipated in various Faculty development Programs and participted in ICSSR International and national seminars conducted by NGM and Other Institutions . I have participated in 12 paper presentations and Quiz programmes. I have acted as the Internal auditor , I have received seed money project proposal on 2024. I have published paper for Book chapters, and Book Publication.

Research Work in PhD

1.-

Malware Detection and Classification using Enhanced machine learning

Awards

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Doctorial Degree (Ph.D) in 25.03.24

Participation in Conference

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1.web traffic reduction for infreauent update

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2.Growth of corporate in time spin:the expectations on academic -proactive output

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3.international conference on finance and business analytics

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4.Analysis and performance of various data mining techniques used for malware detection and identification

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5. A novel portable executable malware detection using random forest with feature set generation algorithm in ICFBA

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6. An analysis of ML models with DL techniques for malware investigation procedures and tools

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7.Teaching and learning with ict tools:issues and challenges from teachers perception

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8.Presented a paper-An analysis of ML models with DL techniques for malware investigation procedures and tools

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9.Impact of digital technology in agriculture

Research Publications

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1.CHALLENGES AND ISSUES IN BIG DATA IJRDO - Journal of Computer Science and Engineering, ISSN: 2456-1843 ,Volume Volume-2 | Issue-12 | December,2016 P.N0 37-41 -2 | Issue-12 | December,2016,

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2.A SURVEY ON MACHINE LEARNING ALGORITHMS,IJAEMA Volume XI, Issue XII, December/2019

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3.REVIEW ON MACHINE LEARNING ALGORITHM,IJRSET JANUARY 2020 Volume 7, Issue 1

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4.Analysis and performance of various data mining techniques used for malware detection and identification

5.-

5. A novel portable executable malware detection using random forest with feature set generation algorithm in ICFBA

6.-

6. An analysis of ML models with DL techniques for malware investigation procedures and tools

7.-

7.Teaching and learning with ict tools:issues and challenges from teachers perception

8.-

8.Presented a paper-An analysis of ML models with DL techniques for malware investigation procedures and tools

9.-

9.Impact of digital technology in agriculture

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10. Risk Factor Prediction Of Cardiovascular Problems For Diabetic Mellitus Patients Using Rule Based Classification

Workshop FDP

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1. Attended android apps development workshop

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2. Attended One Week FDP on cloud application-an introduction

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3. Attended FDP on Beyond academic excellence-a reality show

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4. Attended FDP on Current Technologies in IT Industries

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5.Attended FDP on Data science

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6. Attended FDP on Scope and impact of Open source technology

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7. Attended FDP on Python and latex

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8. Attended FDP on Recent trend in ai and impact on teaching professionals

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9. Attended FDP on maha mantras for versatile faculty

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10. Attended FDP on Emerging innovative Trends in Quality Research Paper Writing and Publishing in right journals

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11.Attended FDP on Cloud Infrastructure(AWS)

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12. Attended FDP on AI tools for teachers

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13. Attended FDP on quality education for nation building

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14. Attended FDP on personality grooming-handling stress and emotional intelligence

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15. Attended FDP on Unlocking innovation :exploring intellectual property rights

Books / Monograph

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ANALYZING THE EFFICIENCY OF CLUSTERING METHODS FOR TEXTUAL DATA: 1.COMPARATIVE STUDY OF AFFINITY PROPAGATION, K-MEANS, AND SPECTRAL CLUSTERING

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Cyber Security

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Role of Social media marketing with business framework Strategies

Research Guidance

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