Results 101 to 110 of about 1,488,653 (205)

[[alternative]]Approximately Mining Recent Frequent Itemsets on Data Streams

, 2010
[[abstract]]Recently, the data of many real applications are generated in the form of data streams. In this thesis, two approximately mining methods, named ATS (Average TimeStamp mining method) and FCP (Frequency Changing Point mining method), are ...
[[author]]石舒寧, 石舒寧
core  

Uncertainty-Aware Contamination Detection in IoT Water Networks via Interval Type-2 Fuzzy Rare Itemset Mining. [PDF]

Sensors (Basel)
Mariadhason JS, Joseph ER, Srinivasan P, Francis RD.   +3 more
europepmc   +1 more source

Mining frequent itemsets from uncertain data: extensions to constrained mining and stream mining

, 2010
Most studies on frequent itemset mining focus on mining precise data. However, there are situations in which the data are uncertain. This leads to the mining of uncertain data.
Hao, Boyu
core  

Best-first search-based approach for mining top-k closed frequent itemsets from uncertain databases. [PDF]

PLoS One
Le N, Vo H, Nguyen T.
europepmc   +1 more source

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 Biosci
Chen X, Yu J, Dong X, Chen Z, Tian J, Zhao M, Jiang M, Guo H, Zhou X, Fa L, Li Y, Zhang L.   +11 more
europepmc   +1 more source

ITL-Mine: Mining Frequent Itemsets More Efficiently

, 2002
The discovery of association rules is an important problem in data mining. It is a two-step process consisting of finding the frequent itemsets and generating association rules from them.
Raj P. Gopalan, Yudho Giri Sucahyo
core  

Reduction of Erasable Itemset Mining to Frequent Itemset Mining

Proceedings of the Annual Conference of JSAI, 2019
HONG, Tzung-Pei, WANG, Chun-Ho, LI, Chia-Che, LIN, Wen-Yang   +3 more
openaire   +1 more source

ECLAT based association rule mining for advancing workplace mental health and organizational insights. [PDF]

Sci Rep
Ullah A, Ashraf S, Aldakheel EA, Abdullah M, Khafaga DS.   +4 more
europepmc   +1 more source

Efficient and interpretable maximal frequent fuzzy pattern mining with multi phase pruning and ternary search. [PDF]

Sci Rep
Al-Wagih K, Abdullah MA, Senan EM.
europepmc   +1 more source