Results 111 to 120 of about 1,645,629 (287)
A Survey of Parallel Data Mining [PDF]
With the fast, continuous increase in the number and size of databases, parallel data mining is a natural and cost-effective approach to tackle the problem of scalability in data mining.
Freitas, Alex A.
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By integrating data from in vitro, ex vivo, and in vivo models, our research identifies the MARV glycoprotein as a remarkable hemorrhagic factor, filling a major gap in this important field. It also provides practical experimental tools for the basic research on viral pathogenesis and applied research aimed at antiviral intervention for hemorrhagic ...
Ting Yao +11 more
wiley +1 more source
Citrus maxima ‘Shatian Yu’ displays varying nutritional profiles influenced by its production area. This study evaluated pomelo fruits from four primary and one developing ‘Shatian Yu’ production area. Notably, ‘Shatian Yu’ from the Guilin area exhibited
Yujiao Peng +6 more
doaj +1 more source
Text Data Mining from the Author's Perspective: Whose Text, Whose Mining, and to Whose Benefit?
Given the many technical, social, and policy shifts in access to scholarly content since the early days of text data mining, it is time to expand the conversation about text data mining from concerns of the researcher wishing to mine data to include ...
Borgman, Christine L.
core
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
Brucellosis, a zoonotic disease caused by Brucella spp., leads to severe reproductive issues in livestock and economic losses. Current serological diagnostics using lipopolysaccharide (LPS) antigens often exhibit cross-reactivity, reducing diagnostic ...
Liping Guo +9 more
doaj +1 more source
DATA MINING BASED MODEL AGGREGATION [PDF]
Applying modelling techniques for getting acquainted with customer behaviour, predicting the customers’ next step is neccessary to keep in competition, by decreasing the capital requirement (Basel II - IRB) or making the portfolio more profitable ...
Szucs, Imre
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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
An integrated approach combining mass spectrometry imaging, transcriptomics, and phylogenetic analysis facilitated the efficient identification of genes involved in gallotannin biosynthesis in Paeonia suffruticosa. As a result, a key UGT and several SCPL acyltransferases responsible for biosynthesizing pentagalloylglucose were successfully identified ...
Yushi Liu +4 more
wiley +1 more source
Data Mining Data mining is about finding patterns in the data [1]. In this paper, I put forward an important insight about similarity in branches of computer science and data mining. All branches of computer science could be termed as a procedure to carry out data mining. In this paper, I detail that. The computer works by finding patterns in the input
openaire +2 more sources

