MarketDomain driven data mining
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Domain driven data mining

Domain driven data mining is a data mining methodology for discovering actionable knowledge and deliver actionable insights from complex data and behaviors in a complex environment. It studies the corresponding foundations, frameworks, algorithms, models, architectures, and evaluation systems for actionable knowledge discovery.

Actionable knowledge
Actionable knowledge refers to the knowledge that can inform decision-making actions and be converted to decision-making actions. The actionability of data mining and machine learning findings, also called knowledge actionability, refers to the satisfaction of both technical (statistical) and business-oriented evaluation metrics or measures in terms of objective and/or subjective perspectives. The research and innovation on actionable knowledge discovery can be deemed a paradigm shift from knowledge discovery from data to actionable knowledge discovery and delivery by mining complex data for complex knowledge in either a multi-feature, multi-source, or multi-method scenario. == Actionable insight ==
Actionable insight
Actionable insight enables accurate and in-depth understanding of things or objects and their characteristics, events, stories, occurrences, patterns, exceptions, and evolution and dynamics hidden in the data world and corresponding decision-making actions on top of the insights. Actionable knowledge may disclose actionable insights. == References ==
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