Finding Frequent Itemsets in High-Speed Data Streams
, 2008 Finding frequent itemsets from data streams is one of important tasks of stream data mining. In a time-varying data stream, when the significant change on the frequent itemsets is detected, it is ideal to compute the new frequent itemsets as quickly as ...
Xingzhi Sun, Xue Li, Maria E. Orlowska
core
Mining frequent closed itemsets out-of-core
, 2006 Extracting frequent itemsets is an important task in many data mining applications. When data are very large, it becomes mandatory to perform the mining task by using an external memory algorithm, but only a few of these algorithms have been proposed so ...
Lucchese C, Perego R, Orlando S
core
Estimating the number of frequent itemsets in a large database
, 2009 Estimating the number of frequent itemsets for minimal support α in a large dataset is of great interest from both theoretical and practical perspectives.
Dave Fuhry +4 more
core
A pattern-growth approach for mining maximal fault-tolerant frequent itemsets. [PDF]
Sci RepBashir S.
europepmc +1 more source
DCI Closed: a fast and memory efficient algorithm to mine frequent closed itemsets
, 2004 One of the main problems raising up in the frequent closed itemsets mining problem is the duplicate detection. In this paper we propose a general technique for promptly detecting and discarding duplicate closed itemsets, without the need of keeping in ...
Lucchese C, Perego R, Orlando S
core
Best-first search-based approach for mining top-k closed frequent itemsets from uncertain databases. [PDF]
PLoS OneLe N, Vo H, Nguyen T.
europepmc +1 more source
A new classification of datasets for frequent itemsets
, 2010 International audienceThe discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to understand the influence of datasets on the ...
Petit, Jean-Marc +2 more
core
Application of frequent itemsets mining to analyze patterns of one-stop visits in Taiwan. [PDF]
PLoS One, 2011 Tu CY, Chen TJ, Chou LF.
europepmc +1 more source
Mining personalized core traditional Chinese medicine prescriptions for rheumatoid arthritis and elucidating their mechanisms via frequent closed Itemset compression and multilevel network pharmacology. [PDF]
Front Mol BiosciChen X +11 more
europepmc +1 more source
Extraction of itemsets frequents
International Journal of Mathematics Research, 2020 R. Elayachi +3 more
openaire +1 more source