Results 101 to 110 of about 2,506 (215)
TT-Miner: Topology-Transaction Miner for Mining Closed Itemset
IEEE Access, 2019 Mining frequent closed itemsets (FCIs) from transaction databases is a fundamental problem in many data mining applications. All the enumeration algorithms enumerate FCIs by adding a singleton item to an itemset and then checking whether it is closure ...
Bo Li +3 more
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Survey On Moving Towards Frequent Pattern Growth for Infrequent Weighted Itemset Mining
, 2014 In data mining and knowledge discovery technique domain, frequent pattern mining plays an important role but it does not consider different weight value of the items. Association Rule Mining is to find the correlation between data.
, Miss. Rituja M. Zagade, Prof. Megha V. Borole
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Mining frequent itemsets a perspective from operations research
Many papers on frequent itemsets have been published. Besides somecontests in this field were held. In the majority of the papers the focus ison speed. Ad hoc algorithms and datastructures were introduced.
Kosters, W.A., Pijls, W.H.L.M.
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A study of selected itemset mining and association rule mining algorithms
, 2022 Data Mining is a central step in Knowledge Discovery in Databases (KDD). This thesis is within the context of Data Mining and more specifically revolves around a couple the Data Mining tasks: Itemset Mining and Association Rule Mining.
Hammami, Rim
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Mining frequent sequences using itemset-based extension [PDF]
, 2008 In this paper, we systematically explore an itemset-based extension approach for generating candidate sequence which contributes to a better and more straightforward search space traversal performance than traditional item-based extension approach. Based
Xu, Yusheng +3 more
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, 2017 Association rule mining is one of the important techniques of data mining used for exploring fruitful patterns from huge collection of data. Generally, the finding of frequent itemsets is the most significant step in association rules mining, and most of
, M.Sinthuja, N. Puviarasan, P. Aruna
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arules - A Computational Environment for Mining Association Rules and Frequent Item Sets
Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
Bettina Grün +2 more
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Mining Approximate Frequent Itemset from Noisy Data
, 2005 Frequent itemset mining is a popular and important first step in analyzing data sets across a broad range of applications. The traditional, “exact ” approach for finding frequent itemsets requires that every item in the itemset occurs in each supporting ...
Susan Paulsen +4 more
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, 2007 site de la conférence : http://ictai07.ceid.upatras.gr/International audienceWe describe here a general approach for rare itemset mining. While mining literature has been almost exclusively focused on frequent itemsets, in many practical situations rare ...
Napoli, Amedeo +5 more
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A Fuzzy Algorithm for Mining High Utility Rare Itemsets -FHURI
, 2014 Classical frequent itemset mining identifies frequent itemsets in transaction databases using only frequency of item occurrences, without considering utility of items.
Pillai, Jyothi +4 more
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