An Incremental Approach for Inducing Knowledge from Dynamic Information Systems

Authors:
Dun Liu;Tianrui Li;Da Ruan;Weili Zou
Affiliations:
School of Economics and Management Southwest Jiaotong University Chengdu, 610031, China. E-mail: newton83@163.com;Laboratory of Intelligent Information Processing School of Information Science and Technology, Southwest Jiaotong University Chengdu, 610031, China. E-mail: trli@swjtu.edu.cn;Belgian Nuclear Research Centre (SCK·CEN), Boeretang 200, 2400 Mol, Belgium & Department of Applied Mathematics & Computer Science, Ghent University 9000 Gent, Belgium. E-mail: druan@sckcen.b ...;School of Mathematics, Southwest Jiaotong University Chengdu, 610031, China. E-mail: zwlsxx@163.com
Venue:
Fundamenta Informaticae - Fundamentals of Knowledge Technology
Year:
2009

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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.