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Titlebook: Advanced Data Mining and Applications; 19th International C Xiaochun Yang,Heru Suhartanto,Ningning Cui Conference proceedings 2023 The Edit

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發(fā)表于 2025-3-21 18:41:34 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advanced Data Mining and Applications
期刊簡稱19th International C
影響因子2023Xiaochun Yang,Heru Suhartanto,Ningning Cui
視頻videohttp://file.papertrans.cn/146/145483/145483.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advanced Data Mining and Applications; 19th International C Xiaochun Yang,Heru Suhartanto,Ningning Cui Conference proceedings 2023 The Edit
影響因子This book constitutes the refereed proceedings of the 19th International Conference on?Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China,?during August 21–23, 2023..The?216?full papers included in this book were carefully reviewed and?selected from?503?submissions. They were organized in topical sections as follows:?Data mining foundations,?Grand challenges of data mining,?Parallel and distributed data mining algorithms,?Mining on data streams,?Graph mining and?Spatial data mining..
Pindex Conference proceedings 2023
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lizzard) and field bean (. L. cv. Alfred) plants. The net release of sugars into the root medium (0.1 m. CaSO.) was stimulated by: the protonophore CCCP (10 μ.); the sulfhydryl reagent NEM (300 μ.); the specific inhibitor of plasmalemma ATPase vanadate (0.5 m.); and the inhibitor of the glucose carr
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SL-TeaE: An Efficient Method for Improving the Precision of Teaching Evaluationing, the emphasis was placed on the technical possibilities associated with the use of rapeseed oil as a fuel. However, research has shown that pure rapeseed oil can only be used in specially designed engines. Research that followed indicated that rapeseed oil methylester (RME) was a suitable replac
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Sentence-Level Event Detection Without Triggers via?Prompt Learning and?Machine Reading Comprehensioes, fungi, bacteria, viruses, and pests drastically damage the crops. Plant–pathogen interaction is an intricate and complex process. It is therefore essential to counteract this yield loss in order to efficiently increase the surplus production of crops. A shift in studies from the traditional to m
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Adaptive Prototype Network with?Common and?Discriminative Representation Learning for?Few-Shot Relate the host, to colonize the host and to ultimately cause harm. Such substances, also referred to as pathogenicity/virulence factors, include enzymes, non-enzymatic proteins, peptides, hormones, toxins and polysaccharides. In addition, pathogens possess the capacity to suppress host defense responses
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Implicit Sentiment Extraction Using Structure Generation with?Sentiment Instructor Prompt Templatealence of unfavorable environmental conditions around the globe. These conditions impose stress on the crop plants leading to a huge economic loss of yield. To survive under?these stressful conditions, the most prominent way is the endogenous production of various phytohormones. Upon production,?the
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SE-Prompt: Exploring Semantic Enhancement with?Prompt Tuning for?Relation Extraction the glyoxylate cycle, and the metabolism of ureides (Huang ., 1983; del Río ., 1992; Reumann, 2000). A characteristic property of peroxisomes is their metabolic plasticity since their enzymatic content can vary depending on the organism, cell/tissue-type and environmental conditions. An illustrativ
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