Abstract:
Breast cancer is the most common form of
cancer among women world-wide and its early
detection can improve the chances of successful
treatment and recovery. In this paper we are using
data mining techniques for diagnosis and
prognosis of cancer. It can help in proper
treatment for the cancer patient. Thus this system
is very helpful in medical research. The aim is to
assist doctors in diagnostic decisions. The popular
data mining C4.5 algorithm was used for the
comparative studies and the accuracy. The results
showed that the ELEM2 algorithm described in
the present study was able to produce accurate
results in the classification of breast cancer data
and the classification rule identified was more
acceptable and comprehensible.
