An Incremental Approach for Inducing Knowledge from Dynamic Information Systems
An Incremental Approach for Inducing Knowledge from Dynamic Information Systems
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DOI：
10.3233/fi-2009-129
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发表时间：
2009-04
期刊：
影响因子：
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通讯作者：
Dun Liu;Tianrui Li;D. Ruan;Weili Zou
中科院分区：
文献类型：
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作者：
Dun Liu;Tianrui Li;D. Ruan;Weili Zou
信息系统中的知识随着其动态环境而演化。本文针对动态信息系统，提出了一种基于精确度和覆盖率的兴趣知识概念。针对对象集随时间变化的情况，提出了一种增量式知识诱导模型和方法及其算法。最后通过实例验证了该方法的可行性。
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.