[Cite as http://purl.org/au-research/grants/arc/DP170104747]
Prof Chengfei Liu
Dr Rui Zhou
Prof Jeffrey Yu
Brief description Biclique discovery in Big Data. This project aims to design algorithms to capture Big Data. Biclique is a popular graph model that can capture important cohesive structures in many applications. However, traditional biclique discovery algorithms which only focus on simple, small-scale, static and deterministic data are inadequate in the era of Big Data where data has Variety (various formats), Volume (large quantity), Velocity (dynamic update) and Veracity (uncertainty). This project expects to benefit real applications in both public and private sectors and add value to Australian manufactured products.
Funding Amount $341,000
Funding Scheme Discovery Projects
View this grant in the ARC Data Portal