A fast algorithm for mining association rules in medical image data

This paper presents a fast association rule mining algorithm which is suitable for medical image data sets. In particular, it assesses the feasibility of using association rule algorithms to extract hidden information from medical image data sets. In addition, we provide a flavour of our implementation environment. Finally, we show, with an example, how our proposed algorithm works to assess its suitability.

[1]  Ricky K. Taira,et al.  A Temporal Evolutionary Object-Oriented Data Model and Its Query Language for Medical Image Management , 1992, VLDB.

[2]  Rolf Stadler,et al.  Discovering Data Mining: From Concept to Implementation , 1997 .

[3]  N. Lavrac,et al.  Intelligent Data Analysis in Medicine and Pharmacology , 1997 .

[4]  Philip S. Yu,et al.  Mining Large Itemsets for Association Rules , 1998, IEEE Data Eng. Bull..

[5]  Ramakrishnan Srikant,et al.  Fast algorithms for mining association rules , 1998, VLDB 1998.

[6]  Carlos Ordonez,et al.  Discovering association rules based on image content , 1999, Proceedings IEEE Forum on Research and Technology Advances in Digital Libraries.

[7]  Jiawei Han,et al.  Resource and knowledge discovery from the internet and multimedia repositories , 1999 .

[8]  Ulrich Güntzer,et al.  Algorithms for association rule mining — a general survey and comparison , 2000, SKDD.

[9]  F Makedon,et al.  Statistical Methods in Medical Research Data Mining in Brain Imaging , 2022 .

[10]  Jian Pei,et al.  Mining frequent patterns without candidate generation , 2000, SIGMOD '00.

[11]  Carlos Ordonez,et al.  Discovering Interesting Association Rules in Medical Data , 2000, ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.

[12]  B. Ginneken.  Statistical local texture analysis applied to computer-aided diagnosis in chest radiography , 2000 .

[13]  Osmar R. Zaïane,et al.  Application of Data Mining Techniques for Medical Image Classification , 2001, MDM/KDD.

[14]  George D. Magoulas,et al.  Machine Learning in Medical Applications , 2001, Machine Learning and Its Applications.

[15]  B. Ginneken.  Computer-aided diagnosis in chest radiography , 2001 .