Results 51 to 60 of about 17,882 (265)
The Scientific World Journal, 2013 In association rule mining, evaluating an association rule needs to repeatedly scan database to compare the whole database with the antecedent, consequent of a rule and the whole rule. In order to decrease the number of comparisons and time consuming, we
Jie Zhang, Yuping Wang, Junhong Feng
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Egyptian Informatics Journal, 2015 The primary thrust of this work is to demonstrate the applicability of association rule mining in public health domain, focusing on physical activity and exercising.
Sugam Sharma +6 more
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Advanced Science, EarlyView.Using iPSC‐derived motoneurons and postmortem tissue from FUS‐ALS patients, it is demonstrated that increased mitochondrial transcription leads to elevated cytosolic double‐stranded RNA (dsRNA) levels. This aberrant accumulation activates a RIG‐I–dependent innate immune response leading to neurodegeneration, which is amenable for FDA‐ and EMA‐approved ...
Marcel Naumann +26 more
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Toward Explainable Time-Series Numerical Association Rule Mining: A Case Study in Smart-Agriculture
MathematicsThis paper defines time-series numerical association rule mining in smart-agriculture applications from an explainable-AI perspective. Two novel explainable methods are presented, along with a newly developed algorithm for time-series numerical ...
Iztok Fister +6 more
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, 2022 Graph association rule mining is a data mining technique used for discovering regularities in graph data. In this study, we propose a novel concept, {\it path association rule mining}, to discover the correlations of path patterns that frequently appear in a given graph.
openaire +2 more sources
Pathogenic Role of FGFR3 Autoantibodies in Small Fiber Neuropathy
Advanced Science, EarlyView.Autoantibodies against fibroblast growth factor receptor 3 (FGFR3) are identified as pathogenic drivers of pain in small fiber neuropathy. By binding to sensory neurons in dorsal root ganglia, FGFR3 autoantibodies activate MAPK signaling and induce hyperexcitability and mechanical hypersensitivity, establishing FGFR3 autoantibodies as a therapeutic ...
Lyuba Y. Salih +12 more
wiley +1 more source
Privacy Preserving Association Rule Mining: Taxonomy, Techniques, and Metrics
IEEE Access, 2019 In the last decades, pervasive computing is generating a growing quantity of data. Data mining (DM) technology has become increasingly popular.
Lili Zhang, Wenjie Wang, Yuqing Zhang
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Advanced Science, EarlyView.Osteosarcoma is the most common primary bone tumor with limited treatment options and a terrible prognosis. This review provides a comprehensive summary of the recent development of osteoimmunomodulatory implants for post‐operative osteosarcoma treatment, of which the potential utility in evoking durable anti‐osteosarcoma immunity and accelerating bone
Yilong Dong +6 more
wiley +1 more source
Advanced Science, EarlyView.This study presents the first telomere‐to‐telomere genomes and population resources for Diaporthe pathogens, uncovering the largest known fungal repertoire of secondary metabolite gene clusters. Structural variations and horizontal gene transfer drive cluster diversification, while specific rapidly evolving clusters control virulence, offering novel ...
Kainan Li +9 more
wiley +1 more source
Application of SAX-based Association Rule Mining on Fault Diagnosis
Shiyou jixie, 2017 When mining fault information using association rule, consecutive data need to be discretized and regionalized. The result of association rule mining is determined by the effect of discretization.
Bai Tangbo +4 more
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