Results 121 to 130 of about 1,488,747 (207)

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

CLTD-LP: an optimized top-down clustering approach with linear prefix trees for scalable frequent pattern discovery in large datasets. [PDF]

Sci Rep
Sinthuja M, Diviya M, Saranya P.
europepmc   +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

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

Association between the combination of GABAergic agents and SSRIs at the first clinical visit and depressive symptom trajectories: A study using group-based trajectory modeling and Apriori algorithm. [PDF]

PLOS Ment Health
Tang B, Jin L, Hu H, Lv Q, Yi Z, Ji Y, Yi Q.   +6 more
europepmc   +1 more source

Mining Frequent Item sets in Data Streams [PDF]

Dass, Rajanish
core  

Federated Learning and Data Mining-Based Botnet Attack Detection Framework for Internet of Things. [PDF]

Sensors (Basel)
Sudheera KLK, Priyashan LLGM, Pavithra OAS, Aththanayake MWT, Sudasinghe PB, Sankalpa WGCA, Sandamali GGN, Chong PHJ.   +7 more
europepmc   +1 more source

Analysis of pediatric absence epilepsy electroencephalograms using a mining-based association rule approach: A cross-sectional study based on realistic data. [PDF]

Medicine (Baltimore)
Li L, Ao L, Li L, Wang L, Liu K, Liu X.
europepmc   +1 more source

An evolutionary computation-based sensitive pattern hiding model under a multi-threshold constraint in healthcare. [PDF]

Sci Rep
Sharma S, Sharma R, Kumar S, Min H.
europepmc   +1 more source

A frequent itemset generation approach in data mining using transaction-labelling dynamic itemset counting method

A significant amount of data is generated, gathered, stored, and evaluated in real-world applications as a result of technology breakthroughs. Data mining (DM) combines a number of disciplines to efficiently discover hidden patterns from vast archives of
Nedunchezhian Raju, Ambily Balaram
core