Abstract:

Data mining is the nontrivial process of identifying valid novel, potentially useful and ultimately understandable patterns of interest in data. In the health field, data mining applications have been growing quickly and globally as it can be used to directly derive patterns, which are relevant to forecast the behavior of the patients. To the best of our knowledge data mining techniques have not been used till now to analyze the cervical cancer patients. Hence, in this paper we have made an attempt to identify patterns from the database of the cervical cancer patients using data Mining Server (DMS). The data base used for this study is collected from one of the known cancer centre in Tamilnadu, India.

Keywords: Data Mining, Cervical Cancer, patterns, Knowledge Discovery, SD Algorithm.

(Full Paper, 952KB)

Biography

THANGAVEL KUTTIANNAN, received the Master of Science from Department of Mathematics, Bharathidasan University in 1986, and Master of Computer Applications Degree from Madurai Kamaraj University, India in 2001. He got his Ph. D. Degree from Mathematics department, Gandhigram Rural Institute-Deemed University in 1999. Currently he is working as Reader in Mathematics Department, Gandhigram Rural Institute-Deemed University, and his experience started from 1988; His area of interests includes medical image processing, artificial intelligence, neural network, and fuzzy logic. ktvel@rediffmail.com

Palanichamy Jaganathan, received the master degree of science in Physics and another master degree in Computer Applications from  Madurai Kamaraj University, Madurai, Tamilnadu, India, in 1993, and 2001, respectively and currently pursuing Ph.D., in Computer Science and Applications from the Department of Computer Science and Applications, Gandhigram Rural Institute-Deemed University, Gandhigram, India. He joined the PSNA College of Engineering and Technology, Tamilnadu, India in 1995 and has been an Assistant Professor in the Department of Computer Applications. He has been in teaching since 1993. His areas of interest include Data mining, Genetic Algorithms, Neural networks, Machine Learning and Artificial intelligence.

BibTex:

@ARTICLE{P1120602001,

AUTHOR = {Thangavel.K and Jaganathan.P and Esmy.P.O},

TITLE = {Subgroup Discovery in Cervical Cancer Analysis using Data Mining},

}

(Full Paper, 952KB)