Results 21 to 30 of about 199,658 (311)
Decision Tree Incremental Learning Algorithm Oriented Intelligence Data [PDF]
International Journal of Performability Engineering, 2018 Hongbin Wang
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IMPLEMENTATION OF DYNAMIC AND FAST MINING ALGORITHMS ON INCREMENTAL DATASETS TO DISCOVER QUALITATIVE RULES [PDF]
Applied Computer Science, 2021 Association Rule Mining is an important field in knowledge mining that allows the rules of association needed for decision making. Frequent mining of objects presents a difficulty to huge datasets.
Pannangi Naresh, R. Suguna
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Dynamic Weights Based Risk Rule Generation Algorithm for Incremental Data of Customs Declarations
Information, 2023 Aimed at shortcomings, such as fewer risk rules for assisting decision-making in customs entry inspection scenarios and relying on expert experience generation, a dynamic weight assignment method based on the attributes of customs declaration data and an
Ding Han +3 more
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Parallel Incremental Mining of Regular-Frequent Patterns from WSNs Big Data [PDF]
Journal of Artificial Intelligence and Data Mining, 2023 Efficient regular-frequent pattern mining from sensors-produced data has become a challenge. The large volume of data leads to prolonged runtime, thus delaying vital predictions and decision makings which need an immediate response.
Sadegh Rahmani-Boldaji +2 more
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Machine Learning Methods with Decision Forests for Parkinson’s Detection
Applied Sciences, 2021 Biomedical engineers prefer decision forests over traditional decision trees to design state-of-the-art Parkinson’s Detection Systems (PDS) on massive acoustic signal data.
Moumita Pramanik +4 more
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Journal of Market Access & Health Policy, 2023 Background The evidence base of tisagenlecleucel is uncertain.Objective To evaluate the cost-effectiveness of tisagenlecleucel. To conduct expected value of perfect information (EVPI) and partial EVPI (EVPPI) analyses.Study Design A three-state ...
Niamh Carey +4 more
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BMC Health Services Research, 2022 Background Although the effectiveness of screening tools for detecting depression in pregnancy has been investigated, there is limited evidence on the cost-effectiveness. This is vital in providing full information to decision makers. This study aimed to
M. Heslin +15 more
semanticscholar +1 more source
Scalable Fuzzy Decision Tree Induction Using Fast Data Partitioning and Incremental Approach for Large Dataset [PDF]
Journal of Advances in Computer Engineering and Technology, 2021 The decision tree is one of the popular methods for learning and reasoning through recursive partitioning of data space. To choose the best attribute in the case on numerical features, partitioning criteria should be calculated for individual values or ...
Somayeh Lotfi +3 more
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Applied Health Economics and Health Policy, 2022 This study evaluated the cost effectiveness of using Stockholm 3 (STHLM3) testing compared to the prostate-specific antigen (PSA) test in the diagnostic pathway for prostate cancer.
B. Risør +4 more
semanticscholar +1 more source