Department of Computer Engineering2024-11-1020033-540-20409-10302-9743N/A2-s2.0-0142215168N/Ahttps://hdl.handle.net/20.500.14288/15907Protein-protein interactions are key to understanding biological processes and disease mechanisms in organisms. There is a vast amount of data on proteins waiting to be explored. In this paper, we describe application of data mining techniques, namely association rule mining and ID3 classification, to the problem of predicting protein-protein interactions. We have combined available interaction data and protein domain decomposition data to infer new interactions. Preliminary results show that our approach helps us find plausible rules to understand biological processes.Computer scienceArtificial intelligenceComputer scienceInformation systemsSoftware engineeringJournal Article188096800040Q44872