Reduction of Erasable Itemset Mining to Frequent Itemset Mining
HONG, Tzung-Pei +3 more
openaire +1 more source
ECLAT based association rule mining for advancing workplace mental health and organizational insights. [PDF]
Ullah A +4 more
europepmc +1 more source
Mining Recent Frequent Itemsets in Sliding Windows over Data Streams
This paper considers the problem of mining recent frequent itemsets over data streams. As the data grows without limit at a rapid rate, it is hard to track the new changes of frequent itemsets over data streams. We propose an efficient one-pass algorithm
Han, Congying, He, Guoping, Xu, Lijun
core
Scalable discovery of spatial multicellular patterns via neighborhood-to-sequence transformation. [PDF]
Zhao F +5 more
europepmc +1 more source
Application of improved FP-tree algorithm in rural accurate information service. [PDF]
Jin Y, Zhao J, Li X, Wu J.
europepmc +1 more source
Exploration of association rule mining between lost-linking features and modes of loan customers using the FP-growth algorithm for risk warning strategies. [PDF]
Wang J, Jiang X, He Y, Guan B, Deng C.
europepmc +1 more source
Multi-level screening method for network security alarms based on DBSCAN algorithm and rete rule inference. [PDF]
Ni L, Zhang S, Huang K, Wang Y.
europepmc +1 more source
A high utility itemsets mining algorithm based on co-evolution. [PDF]
Yang W, Han M, Dai Z, Li J, Ding J.
europepmc +1 more source
An evolutionary computation-based sensitive pattern hiding model under a multi-threshold constraint in healthcare. [PDF]
Sharma S, Sharma R, Kumar S, Min H.
europepmc +1 more source
Mining Text Classification Rules Based on Weighted Frequent Itemsets
:The size of text and weight of elements in feature vectors may affect text classification rule. In order to improve the classification accuracy,new concepts of the weighted frequent items and a weighted frequent item set mining algorithm to highlight ...
doaj

