IEEE AccessTraditional pattern mining algorithms are based on tree and linked list structures. However, they often only consider a single factor of frequency or utility and have to deal with exponential search spaces as well as generate numerous candidates.
Xiumei Zhao, Xincheng Zhong, Bing Han
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Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
, 2008 In order to generate synthetic basket datasets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket datasets.
core
Frequent Itemset Hiding Algorithm Using Frequent Pattern Tree Approach
, 2012 A problem that has been the focus of much recent research in privacy preserving data-mining is the frequent itemset hiding (FIH) problem. Identifying itemsets that appear together frequently in customer transactions is a common task in association rule ...
Alnatsheh, Rami H.
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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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Three Strategies for Concurrent Processing of Frequent Itemset Queries Using FP-growth*
, 2008 . Frequent itemset mining is often regarded as advanced querying where a user specifies the source dataset and pattern constraints using a given constraint model.
Marek Wojciechowski +2 more
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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
Unravelling associations between unassigned mass spectrometry peaks with frequent itemset mining techniques. [PDF]
Proteome Sci, 2014 Vu TN +6 more
europepmc +1 more source
Uncertainty-Aware Contamination Detection in IoT Water Networks via Interval Type-2 Fuzzy Rare Itemset Mining. [PDF]
Sensors (Basel)Mariadhason JS +3 more
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Genetic Programming and Frequent Itemset Mining to Identify Feature Selection Patterns of iEEG and fMRI Epilepsy Data. [PDF]
Eng Appl Artif Intell, 2015 Smart O, Burrell L.
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Best-first search-based approach for mining top-k closed frequent itemsets from uncertain databases. [PDF]
PLoS OneLe N, Vo H, Nguyen T.
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