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Expert-driven knowledge discovery
conference contribution
posted on 2023-05-23, 04:16 authored by Tristan LingTristan Ling, Byeong KangByeong Kang, Johns, DP, Justin WallsJustin Walls, Ivan BindoffIvan BindoffKnowledge Discovery techniques find new knowledge about a domain by analysing existing domain knowledge and examples of domain data. These techniques typically involve using a human expert and automated software analysis (Data Mining). Often the human expertise is used initially to choose which data is processed, and then finally to determine which results are relevant. However studies have noted that some domains contain data stores too extensive and detailed, and existing knowledge too complex, for effective data selection or efficient Data Mining. A different approach is suggested which involves the human expert more pervasively, taking advantage of their expertise at each step, while using Data Mining techniques to assist in discovering data trends and in verifying the expert's findings. Preliminary results suggest that the approach can be successfully applied to discover new knowledge in a complex domain, and reveal many potential areas for research and development.
History
Publication title
Proceedings of the 5th International Conference on Information Technology - New GenerationsEditors
Latifi, SPagination
174-178ISBN
978-0-7695-3099-4Department/School
School of Information and Communication TechnologyPublisher
IEEE Computer Society Conference Publishing Services (CPS)Place of publication
Los Alamitos, CaliforniaEvent title
Information Technology: New Generations (ITNG)Event Venue
Las Vegas, NevadaDate of Event (Start Date)
2008-04-07Date of Event (End Date)
2008-04-09Rights statement
Copyright 2008 IEEERepository Status
- Restricted