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Dr. M. Chandralekha

Assistant Professor, Department of Computer Science and Engineering, Amrita School of Engineering, Chennai

Qualification: B-Tech, M.E, Ph.D
m_chandralekha@ch.amrita.edu
Research Interest: Data Analytics, Data Mining, Data Science, Information Retrieval, Information Retrieval Techniques, Machine Learning

Bio

Dr. M. Chandralekha currently serves as the Assistant Professor, in the Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai. Her areas of research include Information Retrieval, Data Mining, Machine Learning, Data Science and Data analytics. She has published papers in international journals and at conferences where she has won several Best Paper Awards.She has been granted a patent entitled “A decision support system for disease prediction and methods thereof” under Controller General of Patents, Designs & Trademarks, India.

Publications

Journal Article

Year : 2021

Data Analytics for Risk of Hospitalization of Cardiac Patients

Cite this Research Publication : M. Chandralekha, N. Shenbagavadivu (2021): "Data Analytics for Risk of Hospitalization of Cardiac Patients", IETE Journal of Research, Taylor & Francis, DOI: 10.1080/03772063.2021.1923076.

Publisher : IETE Journal of Research, Taylor & Francis

Year : 2019

An improved tree model based on ensemble feature selection for classification

Cite this Research Publication : Chandralekha, M., and N. Shenbagavadivu."An improved tree model based on ensemble feature selection for classification." Turkish journal of electrical engineering and computer sciences 27, no. 2 (2019): 1290-1307. DOI: 10.3906/elk-1808-85

Publisher : Turkish journal of electrical engineering and computer sciences

Year : 2018

Performance Analysis of Various Machine Learning Techniques to Predict Cardiovascular Disease: An Empirical Study

Cite this Research Publication : Chandralekha, M., and N. Shenbagavadivu."Performance Analysis of Various Machine Learning Techniques to Predict Cardiovascular Disease: An Empirical Study." Applied Mathematics & Information Sciences 12, (2018): 217-226. DOI: 10.18576/amis/120121

Publisher : Applied Mathematics & Information Sciences

Year : 2017

An insight into the usage of big data analytics

Cite this Research Publication : Chandralekha, M., and N. Shenbagavadivu."An insight into the usage of big data analytics." International Journal of Advanced Research in Computer Science 8, no. 9 (2017). DOI: http://dx.doi.org/10.26483/ijarcs.v8i9.4937

Publisher : International Journal of Advanced Research in Computer Science

Year : 2016

Performance comparison of different similarity measures for collaborative filtering technique

Cite this Research Publication : Saranya, K. G., G. S. Sadasivam, and M. Chandralekha. "Performance comparison of different similarity measures for collaborative filtering technique." Indian Journal of Science and Technology, volume 9, no. 29 (2016): 1-8. DOI: 10.17485/ijst/2016/v9i29/91060

Publisher : Indian Journal of Science and Technology

Year : 2016

Biclustering based Collaborative Filtering Algorithm for Personalized Web Service Recommendation

Cite this Research Publication : Saranya K G M. Chandralekha and Sudha G Sadasivam. "Biclustering based Collaborative Filtering Algorithm for Personalized Web Service Recommendation". International Journal of Computer Applications 142(7):18-24, May 2016.

Publisher : International Journal of Computer Applications

Conference Proceedings

Year : 2016

Location-aware web service recommendation using collaborative filtering technique

Cite this Research Publication : Dr. M. Chandralekha, “Location-aware web service recommendation using collaborative filtering technique” in the National Conference on Data Intensive Computing (NCDIC-2016), organized by the Department of Computer Science and Engineering at PSG College of Technology, Coimbatore during April 29-30, 2016 (Best Paper Award)

Publisher : National Conference on Data Intensive Computing (NCDIC-2016)

Year : 2016

A survey on recommender system application developments

Cite this Research Publication : Dr. M. Chandralekha, “A survey on recommender system application developments” in the TEQIP II Sponsored Two days National Conference on Communication and Computing Technologies (NCCCT’16), held during 11th& 12th August,2016 at Anna University, Chennai

Publisher : TEQIP II Sponsored Two days National Conference on Communication and Computing Technologies (NCCCT’16)

Year : 2016

Nationwide Mobile Healthcare Services Using Big Data Analytics

Cite this Research Publication : Dr. M. Chandralekha, “Nationwide Mobile Healthcare Services Using Big Data Analytics” in Directorate of Technical Education (DOTE) Campus, Chennai sponsored by Tamilnadu State Council For Science and Technology for the programme of bridging the gap in research funding for research scholars on 17th November,2016

Publisher : Directorate of Technical Education (DOTE) Campus

Year : 2016

Study on cardiovascular disease classification using machine learning approaches

Cite this Research Publication : Dr. M. Chandralekha, “Study on cardiovascular disease classification using machine learning approaches” in the TEQIP II Sponsored International Conference on Emerging Trends in Electrical, Electronics and Communication Systems (ICEEECS’16), held during 24th to 26th September,2016 at Anna University, Chennai

Publisher : TEQIP II Sponsored International Conference on Emerging Trends in Electrical, Electronics and Communication Systems (ICEEECS’16)

Education
  • 2020: Ph. D. Information & Communication
    Anna University, Chennai
  • 2016: M.E. in Software Engineering
    PSG College of Technology, Coimbatore.
  • 2014: B.Tech. in Computer Science and Engineering
    Amrita Vishwa Vidyapeetham, Amrita School of Engineering, Ettimadai, Coimbatore.
Courses Handling
  • Business Analytics
  • Python Programming
  • Object Oriented Paradigm
Awards
  • K.C. Gopal Endowment award in Jun ’16 from PSG Tech Alumni Association, Coimbatore for the Best among the projects submitted in the M.E Software Engineering programme of PSG College of Technology for the year 2015-16.
  • Best paper award in April ’16 at the National Conference on Data Intensive Computing in the Department of Computer Science and Engineering from PSG College of Technology, Coimbatore 
Participation in Faculty Development / STTP / Workshops
Year of Participation Title
2016 DST sponsored ten days training programme on “Big Data Analytics” from 14th to 23rd July 2016 at Anna University Department of Computer Applications, BIT Campus, Tiruchirappalli- 620024.
2016 TEQIP II Sponsored two days National Level Seminar on “Cloud Computing: a Hands-on Approach” organized by Department of Computer Science and Engineering, Bharathidasan Institute of Technology, Anna University, Tiruchirappalli- 620024 on 15th & 16th Sep 2016.
2017 Three days’ workshop on “Data Analysis Using SPSS & R” from 21st to 23rd April 2017 at National Institute of Technology, Department of Management Studies, Trichy- 620015.
2017 Two days State Level Workshop on “Application Development Using Python” organized by the Postgraduate and Research Department of Computer Science on 17th & 18th Feb 2017 at Nehru Memorial College (Autonomous) Puthanampatti-621007, Trichy Dt.
2017 Two days State Level Workshop on “Application Development Using Python” organized by the Postgraduate and Research Department of Computer Science on 17th & 18th Feb 2017 at Nehru Memorial College (Autonomous) Puthanampatti-621007, Trichy Dt.
2017 Five days’ training programme on “Six Sigma” from 24th to 28th July 2017 organized by Department of Computer Applications at National Institute of Technology, Tiruchirappalli- 620015.
2017 Two days’ workshop on “Awareness on Research & Employable Opportunities In Recent Technology” on 06th & 07th October 2017 organized by Department of Computer Applications at University College of Engineering, Bharathidasan Institute of Technology (BIT) Campus, Anna University, Tiruchirappalli- 620024.
2017 One week Faculty Development Programme (FDP) on “Data Mining And Data Analytics” from 13th to 17th November 2017 conducted at National Institute of Technology, Tiruchirappalli- 620015.
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