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https://www.chegg.com/homework-help/questions-and-answers/explain-anti-monotone-property-support-measure-incorporate-property-directly-mining-algori-q22658503
a) Explain what is the anti-monotone property of the support measure and how you can incorporate this property directly into the mining algorithm to effectively prune the exponential search space of candidate itemsets.. b) Unlike the support measure, confidence does not have any monotone property. Please explain how does confidence-based pruning work and provide a proof why it works.
http://web.cs.ucla.edu/~yzsun/classes/2013Spring_CS6220/slides/07FPAdvanced.pdf
Pattern Space Pruning with Anti-Monotonicity Constraints •A constraint C is anti-monotone if the super pattern satisfies C, all of its sub-patterns do so too •In other words, anti-monotonicity: If an itemset S violates the constraint, so does any of its superset •Ex. 1. sum(S.price) v is anti-monotone
http://staffwww.itn.liu.se/~aidvi/courses/06/dm/lectures/lec7.pdf
zApriori principle holds due to the following property of the support measure: – Support of an itemset never exceeds the support of its subsets – This is known as the anti-monotone property of support ∀X,Y :(X ⊆Y) ⇒s(X) ≥s(Y)
https://www-users.cs.umn.edu/~kumar/dmbook/ch6.pdf
Association Analysis: Basic Concepts and Algorithms Many business enterprises accumulate large quantities of data from their day-to-day operations. For example, huge amounts of customer purchase data are collected daily at the checkout counters of grocery stores. Table 6.1 illustrates an example of such data, commonly known as market basket ...
https://towardsdatascience.com/complete-guide-to-association-rules-2-2-c92072b56c84
Sep 17, 2018 · This is called the anti-monotone property of support where if we drop out an item from an itemset, support value of new itemset generated will either be the same or will increase. Apriori principle is a result of anti-monotone property of support.Author: Anisha Garg
https://www.answers.com/Q/What_is_downward_closure_property
May 14, 2013 · This is made possible because of the anti-monotone property of support measure - the support for an itemset never exceeds the support for its subsets. Stay tuned for this.
https://pdfs.semanticscholar.org/d37d/59a2df1053f709bd7961d64ff931ec06bce8.pdf
anti-monotone property of generator may not hold. Additionally generator with weight may become tough to be dealt with in many circumstances. In this paper, we adapt support weight calculation to generator definition under weight support framework through specific techniques. The anti-monotone property of generator with weight can be
https://publications.waset.org/anti-monotoneproperty-related-publications
In this research it is shown that anti-monotonicity does not generally hold, when using weighed support in tree pattern discovery. As a result, tree mining algorithms that are based on this property would probably miss some of the valid frequent subtree patterns in a collection of trees.
http://datamining.rutgers.edu/publication/generalizedsupport.pdf
An important property of support is the anti-monotone property: If X and Y are two itemsets where X ⊆ Y, then σ(Y) ≤ σ(X). The downward closure or anti-monotone property [14] of standard support can be used to efficiently find frequent itemsets and is the foundation of the well-known Apriori algorithm [1]. If a new support measure also
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