a technique for mining generalized quantitative association rules for retail

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Kee, Chris Jin Mu and, (2011) ——. Final Year Project, UTAR. Pang, Samantha Cheng Fehng (2016) Extraction of Collagen from Fish Wastes, Optimization and Characterization. Master dissertation/thesis, UTAR. Chuah, Choon Loong and, (2011) .

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Association rule learning - Wikipedia

Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness. Based on the concept of strong rules, Rakesh Agrawal, Tomasz Imieliński and Arun Swami introduced association rules for discovering regularities ...

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Predictive analytics - Wikipedia

Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.

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Chen, Y. L. and Weng, C. H. (2008); Mining association rules from imprecise ordinal data, Fuzzy Sets and Systems(SCI) : Chen, Y. L., Huang, Tony C.K. and Chang S. K. (2008); A Novel Approach for Discovering Retail Knowledge with Price Information from Transaction Databases, Expert Systems with Applications(SCI)

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Department of Computer Science and Engineering. IIT Bombay

There have been remarkable successes using deep learning approaches - for example learning the rules of Go, and becoming the best player the world, simply by learning from data [1].nnHowever, AI in healthcare do es not have to be either machine learning or case- based reasoning.

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