Titlebook: High-Utility Pattern Mining; Theory, Algorithms a Philippe Fournier-Viger,Jerry Chun-Wei Lin,Vincent Book 2019 Springer Nature Switzerland

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Springer Nature Switzerland AG 2019

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High-Utility Pattern Mining978-3-030-04921-8Series ISSN 2197-6503 Series E-ISSN 2197-6511

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A Survey of High Utility Pattern Mining Algorithms for Big Data,ts ., defined based on a domain objective, is no less than a minimum utility threshold. Several high utility pattern mining algorithms have been proposed in the last decade, yet most do not scale to the type of data we are nowadays dealing with, the so-called .. This chapter aims to provide a compre

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Efficient Algorithms for High Utility Itemset Mining Without Candidate Generation,ole in real-life applications such as market analysis. Traditional high utility itemset mining algorithms generate candidate itemsets and subsequently compute the exact utilities of these candidates. These algorithms have the drawback of generating numerous candidates most of which are discarded for

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High Utility Association Rule Mining, well as find out customer trends based on their carts. To achieve this, a number of studies have examined high utility itemsets (HUIs). Traditional association rule mining algorithms only generate a set of highly frequent rules, but these rules do not provide useful answers for what the high utilit