A Descriptive Framework for the Multidimensional Medical Data Mining and Representation | Science Publications

Journal of Computer Science

Kannan Arputharaj¹  Veeramalai Sankaradass¹ 

关键词: Data discretization;    fuzzy logic;    Association Rule Mining (ARM);    Minimum Description Length (MDL);    medical data mining;    multidimensional data;   

DOI  :  10.3844/jcssp.2011.519.525

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: Association rule mining with fuzzy logic was explored by research foreffective datamining and classification. Approach: It was used to find all the rules existing in thetransactional database that satisfy some minimum support and minimum confidence constraints. Results:In this study, we propose new rule mining technique using fuzzy logic for mining medical data in orderto understand and better serve the needs of Multidimensional Breast cancer Data applications.Conclusion: The main objective of multidimensional Medical data mining is to provide the end user withmore useful and interesting patterns. Therefore, the main contribution of this study is the proposed andimplementation of fuzzy temporal association rule mining algorithm to classify and detect breast cancerfrom the dataset.

【 授权许可】

Unknown