Abstract
Interactive data mining focuses on efficient and effective human-computer interactions for data analysis purposes. An interactive system is an integration of a human user and a computer machine. ICS, an interactive classification system, is implemented to demonstrate the power of interactive data mining. The interaction is mutually beneficial to users and machines. This article describes the architecture of ICS, and introduces the main features of ICS in the entire data mining process.KeywordsData MiningAtomic FormulaPattern DiscoveryOrder RulePattern ExplanationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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