Lincy Mathews

Lincy MathewsOBJECTIVE To involve in educating our students for the benefit of society, I would like to create and bring innovation to education system. SUBJECTS TAUGHT AND TEACHING INTERESTS ? Data Mining ? Data Structures and Algorithms ? Database Management Systems ? Machine Learning ? Natural Language Processing EDUCATION ? Pursuing Ph.D. in Computer Engineering in Vellore Institute of Technology, Vellore University, 2010 ? MTech in Computer Science & Engineering, Vellore Institute of Engineering, 2003 Thesis Title: A Natural Language Interface for a Database System ? B.Tech in Computer Science & Engineering, College of Engineering, Adoor Cochin University of Science & Technology 2001 RESEARCH EXPERIENCE . ? Guiding Graduate and Post Graduate students ? Published papers in international journals and conference Papers Published. 1. Lincy Mathews, Dr Bandaru Rama Krishna Rao, A Feasible Rural Education System, International Journal of Advanced Computer Science and Applications, Vol 3, Issue 1, 2012 2. Lincy Mathews, Dr Bandaru Rama Krishna Rao, An Overview: Semantic web Based Education System, International Journal of Computer Applications, (0975 – 8887),July 2011 3. Lincy Mathews, Dr. E Sathiyamoorthy, Intricacies of an Automatic Text Summarizer, International Journal of Engineering and Technology, July 2013, Vol 5,No 3,Jun-Jul,2013, pg 2871-2878 4. Lincy Mathews, Dr Hari Seetha,“On Improving the Classification of Imbalanced Data” , accepted for March Edition, 2017, Journal, Cybernetics and Information Technologies, Institute of Information and Communication technologies at the Bulgarian Academy of Sciences 5. Lincy Mathews, Dr Hari Seetha “Genetic Approach for Learning from Imbalanced Text Corpora”, Accepted for the Conference(ICETESM2016) and Publication, Published in Indian Journal of Science and Technology, Dec Issue,2017

Publications

Efficient Learning From Two-Class Categorical Imbalanced Healthcare Data
Lincy Mathews, Hari Seetha. © 2021. 20 pages.
When data classes are differently represented in one v. other data segment to be mined, it generates the imbalanced two-class data challenge. Many health-related datasets...
Learning From Imbalanced Data
Lincy Mathews, Seetha Hari. © 2019. 12 pages.
A very challenging issue in real-world data is that in many domains like medicine, finance, marketing, web, telecommunication, management, etc. the distribution of data among...
Learning From Imbalanced Data
Lincy Mathews, Seetha Hari. © 2018. 10 pages.
A very challenging issue in real world data is that in many domains like medicine, finance, marketing, web, telecommunication, management etc., the distribution of data among...