A primer to frequent itemset mining for bioinformatics. [PDF]
Brief Bioinform, 2015 Naulaerts S +6 more
europepmc +1 more source
Constraint programming for itemset mining
, 2009 A one hour seminar about Constraint Programming for Itemset Mining at the international summer school on the analysis of patterns.sponsorship: Institute for the Promotion and Innovation through Science and Technology in Flanders (IWT-Vlaanderen)status ...
Guns, Tias
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An effectiveness assessment ensemble for transmission corridor mechanized construction schemes based on weighted itemset mining and factor criticality analysis. [PDF]
Sci RepYang X +5 more
europepmc +1 more source
Incremental high average-utility itemset mining: survey and challenges. [PDF]
Sci RepChen J +6 more
europepmc +1 more source
CisMiner: genome-wide in-silico cis-regulatory module prediction by fuzzy itemset mining. [PDF]
PLoS One, 2014 Navarro C +4 more
europepmc +1 more source
Dynamic Frequent Itemset Mining Based on Matrix Appriori Algorithm
, 2012 The frequent itemset mining algorithms discover the frequent itemsets from a database. When the database is updated, the frequent itemsets should be updated as well. However, running the frequent itemset mining algorithms with every update is inefficent.
Oğuz, Damla
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Reduction of Erasable Itemset Mining to Frequent Itemset Mining
Proceedings of the Annual Conference of JSAI, 2019 HONG, Tzung-Pei +3 more
openaire +1 more source
FraudMiner: a novel credit card fraud detection model based on frequent itemset mining. [PDF]
ScientificWorldJournal, 2014 Seeja KR, Zareapoor M, Zareapoor M.
europepmc +1 more source
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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Post-processing of association rules. [PDF]
In this paper, we situate and motivate the need for a post-processing phase to the association rule mining algorithm when plugged into the knowledge discovery in databases process.
Vanthienen, Jan +2 more
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