Posters Galore: 'Ensemble-Based Data Relationship Discovery Framework in Supply Chain Business Processes'

Akinola Ogunsemi
Robert Gordon University

Akinola Ogunsemi, Robert Gordon University
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This project represents the initial phase of developing a holistic, data driven formulation of service and supply chain optimisation problem. This is a prime prerequisite into understanding links between billions of data records generated from supply chain business processes.

We performed an investigation of how eight data relationship discovery algorithms can be combined to identify more comprehensive links between database tables. This could be used in providing database users/analysts with the opportunity to understand data relationships and the ability to extract insights from data for commercial advantages like reducing time-intensive analysis and exploration of data by domain experts.

We performed comparative analysis to rank our individual discovery algorithms, the combination framework and selected state-of-the-art algorithms to evaluate performance and suitability. Preliminary results are indicative that using an appropriate combined strategy of discovery techniques can best provide a comprehensive and more supported discovery of data linkages in supply chain business processes.

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