Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Data mining: concepts and techniques
Data mining: concepts and techniques
Mastering Data Mining: The Art and Science of Customer Relationship Management
Mastering Data Mining: The Art and Science of Customer Relationship Management
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Data mining and knowledge discovery in databases: applications in astronomy and planetary science
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Data mining a diabetic data warehouse
Artificial Intelligence in Medicine
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In recent days, mining information from large databases has been recognized by many researchers and many data mining techniques and systems have been developed. In this study, a software (DMAP), which uses Apriori algorithm, was developed. Apriori is an influential algorithm that used in data mining. The name of the algorithm is based on the fact that the algorithm uses prior knowledge of frequent item set properties. The software is used for discovering the social status of the diabetics. A diabetic database that belongsto faculty of medicine of Kocaeli University has been used. The software was executed on a database which has records of 66 patients for test purpose. In the literature, diabetic databases have been often analyzed by rough sets. In this paper, Apriori algorithm, which has been usually used for the market basket analysis, was used for analyzing a diabetic database.