@inproceedings{d020165498ca46cf9eb5745220ad94dd,
title = "Association analysis techniques for bioinformatics problems",
abstract = "Association analysis is one of the most popular analysis paradigms in data mining. Despite the solid foundation of association analysis and its potential applications, this group of techniques is not as widely used as classification and clustering, especially in the domain ofbioinformatics and computational biology. 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 for the task of protein function prediction. Finally, we discuss some of the challenges that need to be addressed to make association analysis-based techniques more applicable for a number of interesting problems in bioinformatics.",
keywords = "Association Analysis, Bioinformatics, Data Mining, Frequent",
author = "Gowtham Atluri and Rohit Gupta and Gang Fang and Gaurav Pandey and Michael Steinbach and Vipin Kumar",
year = "2009",
doi = "10.1007/978-3-642-00727-9\_1",
language = "English",
isbn = "3642007260",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "1--13",
booktitle = "Bioinformatics and Computational Biology - First International Conference, BICoB 2009, Proceedings",
note = "1st International Conference on Bioinformatics and Computational Biology, BICoB 2009 ; Conference date: 08-04-2009 Through 10-04-2009",
}