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- W3177588531 abstract "Mining of frequent patterns and association rules is a Data Mining task that aims to determine consistent relationships among elements in a transaction database. Algorithms that consider the absence of elements perform the generation of so-called negative rules which result in associations of great interest for some applications, enabling it to obtain extra knowledge in comparison to the positive case. This type of association presents a problem regarding the increased amount of generated rules which demands adequate computational resources. This study presents a systematic review with the aim of grouping the concepts of the main contemporary works on this topic, in order to assist the development of future works in this subject." @default.
- W3177588531 created "2021-07-19" @default.
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- W3177588531 date "2021-06-23" @default.
- W3177588531 modified "2023-10-16" @default.
- W3177588531 title "Mining negative rules: a literature review focusing on performance" @default.
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- W3177588531 doi "https://doi.org/10.23919/cisti52073.2021.9476572" @default.
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