The 15th Australasian Data Mining Conference

co-located with IJCAI, AAI, KSEM and IFIP, Melbourne, 19-20 August 2017


We are pleased to announce that Springer CCIS will now be the official publisher for the proceedings of the 15th AusDM conference. Springer’s Communications in Computer and Information Science (CCIS)  is abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus. CCIS volumes are also submitted for the inclusion in ISI Proceedings. We believe this is a positive outcome for all authors and look forward to continuing doing so in AusDM 2018.


Get ready for AusDM 2017


AusDM 2017 Keynote

Improving freight customer retention based on network segmentation

Bart Watson, SAS Australia

When faced with declining revenue and greater market competition, a logistic provider sought to identify their options for addressing these challenges. An integrated analytics solution was initiated which focused on two core sales processes: increasing customer retention and identify prospects.  A framework was created to cluster related customers and segment the market. The segmentation approach explored network features of the market, exposing previously unidentified pockets of customers. Predictive retention models were then developed for each segment using common data mining techniques. The results generated by the predictive models were integrated with the organisation’s customer relationship management (CRM) system and a sales process was implemented to complete a feedback loop, providing ongoing model monitoring and supporting future model development. The project demonstrated a potential return on investment within three months.

About the speaker

Bart Watson is a Senior Engagement Manager with SAS Australia. Bart commenced with SAS in 2012 and has supported customer engagements as a technical lead in analytical solution implementations, specialising in operationalising analytics.  Prior to join SAS, Bart worked at the Australian Bureau of Statistics and WorkSafe Victoria. During his career, Bart has developed deep domain knowledge from supporting analytics functions in credit scoring, demand forecasting, financial crime detection and has implemented analytical solutions supporting sales optimisation, regulatory compliance, workers compensation insurance, recovery and common law litigation.


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