Results 11 to 20 of about 4,248,745 (299)
A novel algorithm for extracting frequent gradual patterns
Machine Learning with Applications, 2021 The extraction of frequent gradual pattern is an important problem in computer science and largely studied by the scientist’s community of research in data mining. A frequent gradual pattern translates a recurrent co-variation between the attributes of a
Tayou Djamegni Clémentin +2 more
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On Aircraft Trajectory Type Recognition Based on Frequent Route Patterns [PDF]
Jisuanji kexue, 2021 With the development of global positioning and radar technology,more and more trajectory data can be collected.In particular,trajectories generated by aircrafts,ships,migratory birds are complicated and varied,and free from any constraints on the ground ...
SONG Jia-geng, ZHANG Fu-sang, JIN Bei-hong, DOU Zhu-mei
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Overview of frequent pattern mining
Genomics & Informatics, 2022 Various methods of frequent pattern mining have been applied to genetic problems, specifically, to the combined association of two genotypes (a genotype pattern, or diplotype) at different DNA variants with disease. These methods have the ability to come up with a selection of genotype patterns that are more common in affected than unaffected ...
Ott, Jurg, Park, Taesung
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Discovering Exclusive Patterns in Frequent Sequences [PDF]
, 2010 This paper presents a new concept for pattern discovery in frequent sequences with potentially interesting applications. Based on data mining, the approach aims to discover exclusive sequential patterns (ESP) by checking the relative exclusion of ...
Weiru Chen +5 more
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Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements
, 2023 Periodic-frequent patterns are a vital class of regularities in a temporal database. Most previous studies followed the approach of finding these patterns by storing the temporal occurrence information of a pattern in a list.
Dao, Minh-Son +13 more
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Reframing in Frequent Pattern Mining [PDF]
2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), 2015 Mining frequent patterns is a crucial task in data mining. Most of the existing frequent pattern mining methods find the complete set of frequent patterns from a given dataset. However, in real-life scenarios we often need to predict the future frequent patterns for different tasks such as business policy making, web page recommendation, stock-market ...
Chowdhury Farhan Ahmed +4 more
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, 2022 Periodic-frequent pattern mining involves finding all periodically occurring patterns in a temporal database. Most previous studies found these patterns by storing the temporal occurrence information of an item in a list structure.
Dao, Minh-Son +13 more
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A Caching Strategy for Transparent Computing Server Side Based on Data Block Relevance
Information, 2018 The performance bottleneck of transparent computing (TC) is on the server side. Caching is one of the key factors of the server-side performance. The count of disk input/output (I/O) can be reduced if multiple data blocks that are correlated with the ...
Bin Wang +3 more
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Most frequent gait patterns in diplegic spastic cerebral palsy [PDF]
Acta Ortopédica Brasileira, 2014 OBJECTIVE: To identify gait patterns in a large group of children with diplegic cerebral palsy and to characterize each group according to age, Gross Motor Function Classification System (GMFCS) level, Gait Deviation Index (GDI) and previous surgical ...
Mauro César de Morais Filho +5 more
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IEEE Access, 2023 Finding periodic-frequent patterns in temporal databases is a prominent data mining problem with bountiful applications. It involves discovering all patterns in a database that satisfy the user-specified minimum support ( $min{\_{}}sup$ ) and maximum ...
Palla Likhitha +4 more
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