User-Centric Mining of Association Rules
نویسندگان
چکیده
Association rule mining is an important mining function because of its completeness. It has been even used to generate classi ers and to segment database. However the current model of association rule mining poses problems regarding exibility while handling evolving databases. The expensive process of massive rule discovery discourages frequent application of mining algorithm for exploratory mining. We present a methodology to reuse computation and provide an environment that encourages fair and exible exploration of database through windows. The environment allows multiple data miners to simultaneously explore the database without causing interference either to the database operation or among each other.
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