Invited Speaker---Associate Prof. Seeja. K. R


Department of Computer Science & Engineering, Indira Gandhi Delhi Technical University for Women, India

Biography: Dr. Seeja. K. R received the B.E degree in Computer Engineering from M.S University Thirunelveli, India in 1995 and M.E degree in Computer Science Engineering from Madurai Kamaraj University, India in 2001. She has been awarded Ph.D. degree in Computer Science on “Data Mining for DNA Data Analysis” from Jamia Hamdard University, New Delhi, India, in July 2010. She is having teaching experience of more than 18 years in various universities and colleges in India. She is currently working as Associate Professor in the Department of Computer Science & Engineering, Indira Gandhi Delhi Technical University for Women, Delhi, India. Her research areas include data mining, algorithm design and bioinformatics. She has published more than 20 papers in refereed journals and conference proceedings. She is referee of five SCI indexed journals.

Speech Title: Data Mining Techniques for Analysing Gene Expression Data
Abstract: Cancer is curable if it can be detected early. When a normal cell becomes cancerous there will be change in expression of many genes in that cell. Identification of these gene expression changes in cancer tissue may lead to the development of novel tools for early diagnosis and effective therapeutics. Gene expression databases contain the expression levels of many genes in different samples/tissues. In data mining perspective, these genes are features. In this talk, an algorithm for frequent itemset mining especially for wide databases like gene expression data base and its application in identification of signature genes will be presented.