Results 1 to 10 of about 2,022,125 (263)
Mining Productive-Associated Periodic-Frequent Patterns in Body Sensor Data for Smart Home Care [PDF]
Sensors, 2017 The understanding of various health-oriented vital sign data generated from body sensor networks (BSNs) and discovery of the associations between the generated parameters is an important task that may assist and promote important decision making in ...
Walaa N. Ismail, Mohammad Mehedi Hassan
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Practical Approaches for Mining Frequent Patterns in Molecular Datasets [PDF]
Bioinformatics and Biology Insights, 2016 Pattern detection is an inherent task in the analysis and interpretation of complex and continuously accumulating biological data. Numerous itemset mining algorithms have been developed in the last decade to efficiently detect specific pattern classes in
Stefan Naulaerts +6 more
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An Efficient Parallel Method for Mining Frequent Closed Sequential Patterns [PDF]
IEEE Access, 2017 Mining frequent closed sequential pattern (FCSPs) has attracted a great deal of research attention, because it is an important task in sequences mining.
Bao Huynh, Bay Vo, Vaclav Snasel
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Determining frequent patterns of copy number alterations in cancer. [PDF]
PLoS ONE, 2010 Cancer progression is often driven by an accumulation of genetic changes but also accompanied by increasing genomic instability. These processes lead to a complicated landscape of copy number alterations (CNAs) within individual tumors and great ...
Franck Rapaport, Christina Leslie
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Recursive Queried Frequent Patterns Algorithm: Determining Frequent Pattern Sets from Database
InformationFrequent pattern mining is a fundamental method for Data Mining, applicable in market basket analysis, recommendation systems, and academic analytics. Widely adopted and foundational algorithms such as Apriori and FP-Growth, which represent the standard ...
Ishtiyaq Ahmad Khan +3 more
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Efficient Mining of Non-Redundant Periodic Frequent Patterns
Vietnam Journal of Computer Science, 2021 Periodic frequent patterns are frequent patterns which occur at periodic intervals in databases. They are useful in decision making where event occurrence intervals are vital.
Michael Kofi Afriyie +3 more
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Applied Sciences, 2023 The regular frequent pattern mining (RFPM) approaches are aimed to discover the itemsets with significant frequency and regular occurrence behavior in a dataset.
Saif Ur Rehman +5 more
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Discovering associations between radiological features and COVID‐19 patients' deterioration
Health Science Reports, 2023 Background and Aims Data mining methods are effective and well‐known tools for developing predictive models and extracting useful information from various data of patients.
Nasrin Ahmadinejad +7 more
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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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