A snail shell process model for knowledge discovery via data analytics

2016 | Decision Support Systems | Citations: 80

Authors: Li, Yan; Thomas, Manoj A.; Osei-Bryson, Kweku-Muata

Abstract: The rapid growth of big data environment imposes new challenges that traditional ... Expand

Abstract: The rapid growth of big data environment imposes new challenges that traditional knowledge discovery and data mining process (KDDM) models are not adequately suited to address. We propose a snail shell process model for knowledge discovery via data analytics (KDDA) to address these challenges. We evaluate the utility of the KDDA process model using real-world analytic case studies at a global multi-media company. By comparing against traditional KDDM models, we demonstrate the need and relevance of the snail shell model, particularly in addressing faster turnaround and frequent model updates that characterize knowledge discovery in the big data environment. Collapse

Topics: big data Hadoop Distributed File System data quality data integration Tableau software

Methods: business process modeling data transformation design science exploratory data analysis case study