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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3190

Title: Domain Driven Data Mining
Authors: Manna Elizabeth Philip
Keywords: Data mining, business needs, actionability, D3M, actionable knowledge discovery and delivery.
Issue Date: 26-May-2011
Abstract: In deploying data mining into the real-world business, we have to cater for business scenarios, organizational factors, user preferences and business needs. However, the current data mining algorithms and tools often stop at the delivery of patterns satisfying expected technical interestingness. Traditional data mining research mainly focuses on developing, demonstrating, and pushing the use of specific algorithms and models. In summary, we see that the findings are not actionable, and lack soft power in solving real- world complex problems. Thorough efforts are essential for promoting the actionability of knowledge discovery in real world smart decision making. To this end, domain-driven data mining (D3M) has been proposed to tackle the above issues, and promote the paradigm shift from “data-centered knowledge discovery” to “domain-driven, actionable knowledge delivery.” D3M or Domain-Driven Actionable Knowledge Discovery and Delivery (AKD), aims at next-generation data mining methodologies, techniques and real-life enterprise applications by involving and synthesizing ubiquitous data, information, resources and intelligence in data mining problems and environment as per requirements, and delivering actionable outcomes satisfying both technical significance and business needs and supporting direct decision-making actions for business. In this seminar, rather than introducing specific accomplishments made on D3M, the focus is on presenting a systematic overview of concepts, challenges, techniques, and prospects of D3M. An overview of driving forces, theoretical frameworks, architectures, techniques, case studies, and open issues of D3M is being presented.
URI: http://hdl.handle.net/123456789/3190
Appears in Collections:MTech 2010-2012 Batch

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