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Finding the Chances and Prediction of Cancer through Apriori Algorithm with Transaction Reduction

Author(s): Shashank Singh | Manoj Yadav | Hitesh Gupta

Journal: International Journal of Advanced Computer Research
ISSN 2249-7277

Volume: 2;
Issue: 2;
Start page: 23;
Date: 2012;
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Keywords: Apriori | cancer | cancer symptoms | pattern mining

Frequent pattern mining is an important task ofdata mining. It is essential for mining association,relevant and interesting links. In addition, it iswidely used in data classification, clustering andother data mining tasks. Many effective, scalablealgorithms have been developed in terms of frequentpattern mining. The Apriori algorithm is a classicalfrequent item sets generation algorithm and amilestone in the development of data mining. In thispaper we apply the apriori algorithm withtransaction reduction on cancer symptoms. Weconsider five different types of cancer andaccording to the classification we generate thecandidate sets and minimum support to find thespreading of cancer. By this we can find thesymptoms by which the cancer is spreading moreand also about the highest spreading cancer type.
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