Cross-Domain Distributed Data Analytics

Funding or Partner Organisation: National ICT Australia

Start year: 2015

Summary: A current and future trend is that enterprises are increasingly collaborating with each other by jointly sharing and analysing respective data recourses which were previously disparate from each other, so that they can jointly identify new market opportunities such as niche market towards new major markets. For example, a flight booking company can jointly analyse its data with a supermarket company so that they can identify customers' behaviour in a better accurate way for better customer recommendation for more sales. For instance, if a customer always shops in the evening in a supermarket, then the flight booking company should push more air ticket recommendation for evening flights rather than morning ones to the customer for better sales rate.

Keywords: cross-domain, data analytics

FOR Codes: Internet Hosting Services (incl. Application Hosting Services), Information Processing Services (incl. Data Entry and Capture), Distributed and Grid Systems, Pattern Recognition and Data Mining, Data engineering and data science, Distributed systems and algorithms, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.