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An Algorithm for Mining the Living Habits of Elderly People Living Alone Based on AIoT. [PDF]

Sensors (Basel)
Wu J, Lu Y, Jiang Y.
europepmc   +1 more source

Temporal Evolution of the Profile of Patients Hospitalized with Heart Failure (2000-2022). [PDF]

Clin Pract
Seoane-Pillado T, Suárez-Gil R, Pértega-Díaz S, Piñeiro-Fernández JC, Rodriguez-Ameijeiras E, Casariego-Vales E.   +5 more
europepmc   +1 more source

A survey of streaming data anomaly detection in network security. [PDF]

PeerJ Comput Sci
Zhou P.
europepmc   +1 more source

Finding the needle in the haystack-An interpretable sequential pattern mining method for classification problems. [PDF]

Front Big Data
Grote A, Hariharan A, Weinhardt C.
europepmc   +1 more source

Extraction frequent patterns in trauma dataset based on automatic generation of minimum support and feature weighting. [PDF]

BMC Med Res Methodol
Kohzadi Z, Nickfarjam AM, Arani LS, Kohzadi Z, Mahdian M.   +4 more
europepmc   +1 more source

Improved adaptive-phase fuzzy high utility pattern mining algorithm based on tree-list structure for intelligent decision systems. [PDF]

Sci Rep
Chen J, Liu A, Zhang H, Yang S, Zheng H, Zhou N, Li P.   +6 more
europepmc   +1 more source

Contrast subgraphs catch patterns of altered functional connectivity in autism spectrum disorder. [PDF]

Sci Rep
Lanciano T, Petri G, Gili T, Bonchi F.
europepmc   +1 more source

Optimization algorithm of association rule mining for heavy-haul railway freight train fault data based on distributed parallel computing.

Sci Prog
Bai Y, Li H, Wang W, Liu S, Zhang N, Zhang C.   +5 more
europepmc   +1 more source

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Frequent Itemset Mining for Big Data

2013 IEEE International Conference on Big Data, 2013
Frequent Itemset Mining (FIM) is one of the most well known techniques to extract knowledge from data. The combinatorial explosion of FIM methods become even more problematic when they are applied to Big Data. Fortunately, recent improvements in the field of parallel programming already provide good tools to tackle this problem.
Moens, Sandy, Akşehirli, Emin, Goethals, Bart   +2 more
openaire   +2 more sources