Searching for An Algorithm For Finding Frequent Itemsets Using Length Decreasing Support Constraint information? Find all needed info by using official links provided below.
https://www.researchgate.net/publication/3940240_LPMiner_An_Algorithm_for_Finding_Frequent_Itemsets_Using_Length-Decreasing_Support_Constraint
LPMiner: An Algorithm for Finding Frequent Itemsets Using Length-Decreasing Support Constraint Conference Paper (PDF Available) · February 2001 with 46 Reads How we measure 'reads'
https://ieeexplore.ieee.org/document/989558/
Ideally, we desire to have an algorithm that finds all the frequent item sets whose support decreases as a function of their length. In this paper, we present an algorithm called LPMiner (Long Pattern Miner) that finds all item sets that satisfy a length-decreasing support constraint.
http://glaros.dtc.umn.edu/gkhome/fetch/papers/slpminer.pdf
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint Masakazu Seno and George Karypis Department of Computer Science and Engineering, Army HPC Research Center University of Minnesota 4-192 EE/CS Building, 200 Union Street SE, Minneapolis, MN 55455 Fax: (612) 625-0572 seno, karypis @cs.umn.edu
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.9396
In this paper we present an algorithm called LPMiner, that finds all itemsets that satisfy a length-decreasing support constraint. Our experimental evaluation shows that LPMiner is up to two orders of magnitude faster than the FP-growth algorithm for finding itemsets at a constant support constraint, and that its runtime increases gradually as ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.4743
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Over the years, a variety of algorithms for finding frequent itemsets in very large transaction databases have been developed. The key feature in most of these algorithms is that they use a constant support constraint to control the inherently exponential complexity of the problem.
http://glaros.dtc.umn.edu/gkhome/node/164
In this paper we present an algorithm called LPMiner, that nds all itemsets that satisfy a length-decreasing support constraint. Our experimental evaluation shows that LPMiner is up to two orders of magnitude faster than the FP-growth algorithm for finding itemsets at a constant support constraint, and that its runtime increases gradually as ...
https://www.researchgate.net/publication/4006068_SLPMiner_An_algorithm_for_finding_frequent_sequential_patterns_using_length-decreasing_support_constraint
SLPMiner: An algorithm for finding frequent sequential patterns using length-decreasing support constraint Conference Paper (PDF Available) · February 2002 with 42 Reads How we measure 'reads'
https://link.springer.com/article/10.1007%2Fs10618-005-0364-0
In this paper we present two algorithms, LPMiner and SLPMiner. Given a length-decreasing support constraint, LPMiner finds all the frequent itemset patterns from an itemset database, and SLPMiner finds all the frequent sequential patterns from a sequential database.Cited by: 27
https://link.springer.com/article/10.1007/s10618-005-0026-2
May 12, 2006 · A user-specified precision threshold is used together with the model to find local frequency thresholds for groups of itemsets. Based on the constraint we develop the notion of NB-frequent itemsets and adapt a mining algorithm to find all NB-frequent itemsets in a database.Cited by: 20
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