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MULTIATTRIBUTE GENE MANIPULATION FOR CANCER

Abstract

In the present decade, the growth of medical fields with the help of computers opened the new
beginning for medical research. In medical research, data mining techniques plays a vital role in predict disease
earlier and diagnose. Cancer research is one of the major research areas in the medical field. Accurate prediction
of different cancer tumor types has great value in providing better treatment and toxicity minimization on the
patients. The systematic approach is to analyze global gene expression which provides an optimized solution for
the identified problem area. In this paper, the input from multiple sources, create a store. Cluster the data with
attribute match association rule and followed by classification with the knowledge acquired.


Author

D.Priyadharshini, J. Mannarmannan
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