Results 81 to 90 of about 15,313,493 (129)

Time-dependent sequential association rule-based survival analysis: A healthcare application. [PDF]

MethodsX
Csalódi R, Bagyura Z, Abonyi J.
europepmc   +1 more source

Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare. [PDF]

BMC Med Inform Decis Mak
Casanova IJ, Campos M, Juarez JM, Gomariz A, Canovas-Segura B, Lorente-Ros M, Lorente JA.   +6 more
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

Athletes' performance and injury management in sports training using association rules and data mining techniques. [PDF]

Sci Rep
Chen L, Mo B, Yu X.
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Big data analytics and artificial intelligence aspects for privacy and security concerns for demand response modelling in smart grid: A futuristic approach. [PDF]

Heliyon
Reka SS, Dragicevic T, Venugopal P, Ravi V, Rajagopal MK.   +4 more
europepmc   +1 more source

Formulation principles and mechanisms of TCM patent prescriptions for PCOS: A data mining study from CNIPA. [PDF]

Medicine (Baltimore)
Shi N, Ji S, Zhang Y, Qu H, Hou J, Jiang L, Liu H.   +6 more
europepmc   +1 more source

Optimal Transport Theory to Extract Spiking Motifs

Grimaldi A, Sotomayor-Gómez B, Gilson M, Perrinet L, Alamia A, Vinck M.   +5 more
europepmc   +1 more source

Actionable Combined High Utility Itemset Mining

Proceedings of the AAAI Conference on Artificial Intelligence, 2015
The itemsets discovered by traditional High Utility Itemsets Mining (HUIM) methods are more useful than frequent itemset mining outcomes; however, they are usually disordered and not actionable, and sometime accidental, because the utility is the only judgement and no relations among itemsets are considered.
Jingyu Shao, Junfu Yin, Wei Liu 0007, Longbing Cao   +3 more
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High-utility and diverse itemset mining

Applied Intelligence, 2021
High-utility Itemset Mining (HUIM) finds patterns from a transaction database with their utility no less than a user-defined threshold. The utility of an itemset is defined as the sum of the utilities of its items. The utility notion enables a data analyst to associate a profit score with each item and thereof to a pattern. We extend the notion of high-
Amit Verma, Siddharth Dawar, Raman Kumar, Shamkant B. Navathe, Vikram Goyal   +4 more
openaire   +1 more source

HIGH UTILITY ITEMSETS MINING

International Journal of Information Technology & Decision Making, 2010
High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items. High utility itemsets mining is useful in decision-making process of many applications, such as retail marketing and Web ...
Ying Liu 0039, Jianwei Li, Wei-keng Liao, Alok N. Choudhary, Yong Shi 0001   +4 more
openaire   +3 more sources