NDLI: A Conceptual Infrastructure for Knowledge Discovery Process with Granularity

Content Provider	IEEE Xplore Digital Library
Author	Ding Pan
Copyright Year	2010
Abstract	Knowledge discovery has received more and more attention from the business community for the last few years. One of the most important and challenging problems in it is the definition of discovery process model, which are well understood, efficiency, and quality of outcome. A conceptual infrastructure for knowledge discovery process is proposed with business understanding, model selection and domain knowledge integration in evolving database environment. The corresponding layered architecture creates an automatable process and communication mechanism to incorporate known knowledge and data granules into discovery process, through ontology service facility. A higher order mining method embedded in the process is proposed, to achieve monitoring and identifying changes statically and tracing trends dynamically. Finally, implementation techniques of basic data structure and simplified mining algorithms are discussed.
Starting Page	99
Ending Page	103
File Size	344020
Page Count	5
File Format	PDF
ISBN	9781424484324
DOI	10.1109/AICI.2010.260
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Conceptual infrastructure Ontologies Data models Delta modulation Higher order mining Discovery process Association rules Business
Content Type	Text
Resource Type	Article

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