Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Data Mining and Knowledge Discovery Handbook
Data Mining and Knowledge Discovery Handbook
Fuzzy Neural Networks and Genetic Algorithms for Medical Images Interpretation
GMAI '06 Proceedings of the conference on Geometric Modeling and Imaging: New Trends
Comparing association rules and decision trees for disease prediction
HIKM '06 Proceedings of the international workshop on Healthcare information and knowledge management
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Neural network aided breast cancer detection and diagnosis
NN'06 Proceedings of the 7th WSEAS International Conference on Neural Networks
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Breast cancer is the second leading cause of cancer deaths in women today and the most common cancer among women. At present there is no known method to prevent breast cancer but early detection increase the chance of cure. Screening mammograms is considered as the best tool for doctors to detect breast cancer at an early stage. In this paper we present the application of Classification based on multiple association rule (CMAR) in neural network (NN) to classify breast cancer mammographic data. CMAR is used in the initial step in creating structure of neural network. It is tested on the real datasets: Mammography Mass Data from UCI repository.