Title :
Association analysis techniques for analyzing complex biological data sets
Author :
Pandey, Gaurav ; Atluri, Gowtham ; Fang, Gang ; Gupta, Rohit ; Steinbach, Michael ; Kumar, Vipin
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
Abstract :
Association analysis is one of the most popular analysis paradigms in data mining. In this paper, we present different types of association patterns and discuss some of their applications in bioinformatics. We present a case study showing the usefulness of association analysis-based techniques for pre-processing protein interaction networks. Finally, we discuss some of the challenges that need to be addressed to make association analysis-based techniques more applicable for bioinformatics.
Keywords :
bioinformatics; data mining; proteins; association analysis techniques; bioinformatics; biological data sets; data mining; preprocessing protein interaction networks; Application software; Bioinformatics; Biology; Computer science; Data analysis; Data engineering; Data mining; Itemsets; Pattern analysis; Proteins;
Conference_Titel :
Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-4761-9
Electronic_ISBN :
978-1-4244-4762-6
DOI :
10.1109/GENSIPS.2009.5174378
