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- W3033043148 abstract "Utilizing computing infrastructure, various mining paradigms have been found to represent abstracted knowledge, user involvement, and data investigation such as association rule mining for metaheuristic development and validation, machine learning, statistics, and neural networks. For profile practices, surveillance, and scientific discovery where the datasets are too small for reliable statistical inferences of new patterns, the data mining techniques are used to create new hypotheses for those discovery-driven systems. Various data mining methodologies based on data scalability and knowledge levels are applied to analyze user association in buying habits. In business, for timely product promotions, association rule mining is applied. Technically it searches for relationships between variables. Various knowledge management techniques to process descriptive, procedural, and reasoning knowledge are applied to build automatic decision support systems. Market basket analysis improves the efficacy of marketing tactics by developing a customer indicator matrix from the real online data." @default.
- W3033043148 created "2020-06-12" @default.
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- W3033043148 date "2020-06-05" @default.
- W3033043148 modified "2023-10-03" @default.
- W3033043148 title "Performance Analysis Through a Metaheuristic Knowledge Engine" @default.
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- W3033043148 doi "https://doi.org/10.1002/9781119551621.ch7" @default.
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