Titlebook: Rough Sets, Fuzzy Sets and Knowledge Discovery; Proceedings of the I Wojciech P. Ziarko Conference proceedings 1994 British Computer Societ

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An Overview of Knowledge Discovery in Databases: Recent Progress and Challenges,strategy discovery systems, and detection of changes and deviations. I describe a number of successful applications and discuss the remaining challenges for further research and application development.

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Search for Concepts and Dependencies in Databases,ps among descriptors or attributes. This paper addresses the problem of generating implication rules, and shows that the lattice is an interesting framework for functional dependency generation and checking.

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Rough Sets and Concept Lattices,ept lattices have been applied to Machine Learning as well as to the uncovering of the underlying structure in discrete-valued data. They also embody the cladistic approach to classification. This paper describes how the use of a concept lattice as representation model is related to the rough set ap

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Knowledge Recognition, Rough Sets, and Formal Concept Lattices,ry in social importance--which is to say that internationally it is one of the salient social problems of the present day. At this Conference we are concerned, by way of current and prospective interactions between research and researchers in the domains of Knowledge Discovery and of Rough Sets, to

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Temporal Rules Discovery using Datalogic/R+ with Stock Market Data,e. Snapshot temporal rules are formulated by associating a current decision attribute instance to the relevant past condition attribute instances. Aggregate temporal rules are formulated by associating a current decision attribute instance to the total change of relevant past condition attribute ins

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A System Architecture for Database Mining Applications,y for supporting mining applications. Second scaling traditional knowledge discovery techniques for large data sets is not straightforward. We propose a mining kernel that could be incorporated into future DBMSs. The mining kernel provides a common knowledge base encapsulated by a complete set of kn