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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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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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Towards fast and memory efficient discovery of periodic frequent patterns
Journal of Information and Telecommunication, 2019 Periodic frequent pattern (PFP) mining, the process of discovering frequent patterns that occur at regular periods in databases, is an important data mining task for various decision-making.
Vincent Mwintieru Nofong, John Wondoh
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Addressing the Cold-Start Problem in Recommender Systems Based on Frequent Patterns
Algorithms, 2023 Recommender systems aim to forecast users’ rank, interests, and preferences in specific products and recommend them to a user for purchase. Collaborative filtering is the most popular approach, where the user’s past purchase behavior consists of the user’
Antiopi Panteli, Basilis Boutsinas
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Frequent Patterns Mining in DNA Sequence
IEEE Access, 2019 As a common biological sequence, DNA sequences contain important information. The discovery of frequent patterns in DNA sequences can help to study the evolution, function and variation of genes.
Na Deng +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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