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Issue title: Fundamentals of Knowledge Technology
Article type: Research Article
Authors: Liu, Dun | Li, Tianrui | Ruan, Da | Zou, Weili
Affiliations: School of Economics and Management Southwest Jiaotong University Chengdu, 610031, China. E-mail: [email protected] | Laboratory of Intelligent Information Processing School of Information Science and Technology, Southwest Jiaotong University Chengdu, 610031, China. E-mail: [email protected] | Belgian Nuclear Research Centre (SCK·CEN), Boeretang 200, 2400 Mol, Belgium & Department of Applied Mathematics & Computer Science, Ghent University 9000 Gent, Belgium. E-mail: [email protected]; [email protected] | School of Mathematics, Southwest Jiaotong University Chengdu, 610031, China. E-mail: [email protected]
Abstract: Knowledge in an information system evolves with its dynamical environment. A new concept of interesting knowledge based on both accuracy and coverage is defined in this paper for dynamic information systems. An incremental model and approach as well as its algorithm for inducing interesting knowledge are proposed when the object set varies over time. A case study validates the feasibility of the proposed method.
Keywords: Rough sets, interesting knowledge, accuracy, coverage, dynamic information systems, data mining
DOI: 10.3233/FI-2009-129
Journal: Fundamenta Informaticae, vol. 94, no. 2, pp. 245-260, 2009
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