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Dr Rathika C

vidwan id: 129288
Female

Assistant Professor, Department of Computer Science
Sri Ramakrishna College of Arts and Science for Women

Expertise

  • Computer Science Information Systems

Publications

Total Articles 21
Books 0
Proceedings 0

Publications

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Professional Recognition

2018

Gold Medal - Introduction to R

NPTEL
2019

Silver Medal - Data Science for Engineers

NPTEL

Community & Membership

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IAENG

Life time

Bio

Data mining and Big Data analytics

Personal Details

  • Female
  • Assistant Professor , Sri Ramakrishna College of Arts and Science for Women
  • Sri Ramakrishna College of Arts and Science for Women, 395, Sarojini Naidu Road, New Siddhapudur
Ph.D
Sri Ramakrishna College of Arts and Science for Women 2022
M.PHIL
Bharathidasan University 2007
M.Sc
Maharaja Engineering College 2002
B.Sc
Other Institute 2000
Assistant Professor Jul 2002 – Present
Sri Ramakrishna College of Arts and Science for Women | Department of Computer Science

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Co-Authors (1)

Umarani

Dr Umarani V

PSG College of Technology

Scholarly Work

Predicting the safety information of Drugs using Data mining Techniques

Funding Agency: Seed Funding from Management

Co-Investigator

25,000

2017 - 2018

Completed
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Scholarly Publications

An Hybrid Deep Learning Technique for Prediction of Drug-Drug Interaction

Open Access
article

Monitoring and Tracking Behavioural Engagement of Users in Web

Open Access
article
Authors: Dr. G. Kalpana, Dr. C. Rathika

The Marketing 4.o and its Impact of SMEs on Indian Economy

Open Access
article
Authors: Dr.R.Khanchana, Dr.C.Rathika

A Hybrid Deep Learning Technique for Predicting Adverse Drug Reactions

Open Access
article
Authors: C.Rathika and V.Umarani

Enabling Privacy-Preserving and Encrypted Multi-Keyword Similarity Search with Dynamic Access Policy Over Cloud Data

Open Access
article
Authors: C.N Indhu Mathi and Dr.C.Rathika

A Survey on Wrapper based Feature Selection Methods for Classification

Open Access
article

Filter Based Feature Selection Methods - A Review

Open Access
article
Authors: Rathika.C

An Intelligent Technique for Predicting Adverse Drug Reactions (ADRs) Using Modified Shrinkage Function Based Extreme Gradient Boost (MSXGB) Classifier

Open Access
article