A Novel Approach for Finding Frequent Medicine Set Using Maximal Apriori for Medical Application - Proceedings of All India Seminar on Biomedical Engineering 2012 (AISOBE-2012) - page 134

A Novel Approach for Finding Frequent
Medicine Set Using Maximal Apriori
for Medical Application
Shailendra Chourasia, Rashmi Vishwakarma, Meghna Utmal and
Neeraj Shukla
Abstract Frequent itemsets play an essential role in many data mining tasks that
try to find interesting patterns from databases, such as association rules, correla-
tions, sequences, classifiers, clusters, and many more of which the mining of
association rules is one of the most popular problems. Frequent itemsets mining
plays an important role in association rules mining. This chapter addresses the
special features of data mining with medical data. So in this chapter, data mining
with medical data is referred to as ''Finding Frequent Medicine Set''. Medicine is
primarily directed at patient-care activity, and only secondarily as a research
resource; almost the only justification for collecting medical data is to benefit the
individual patient. Finally, medical data have a special status based upon their
applicability to all people; their urgency (including life or death); and a moral
obligation to be used for beneficial purposes.
Keywords Data mining Frequent itemsets Frequent medicine set SRMine
algorithm
Note: Frequent itemset = Frequent medicine set.
S. Chourasia ( & ) M. Utmal N. Shukla
Gyan Ganga College of Technology, Jabalpur, Madhya Pradesh 482003, India
e-mail: [e-mail]
M. Utmal
e-mail: [e-mail]
N. Shukla
e-mail: [e-mail]
R. Vishwakarma
Gyan Ganga Institute of Technology and Sciences, Jabalpur, Madhya Pradesh 482003, India
e-mail: [e-mail]