行乞 发表于 2025-3-30 08:19:29
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http://reply.papertrans.cn/27/2631/263059/263059_52.pngGenistein 发表于 2025-3-30 20:17:14
The Competence of Volunteer Computing for MapReduce Big Data Applications,ons. This paper explores whether VC scales for a large number of volunteers when they commit churn and how large VC needs to scale in order to achieve the same performance as that by High Performance Computing (HPC) or computing grid for a given big data problem. To achieve the goal, this paper propSLUMP 发表于 2025-3-31 00:19:52
http://reply.papertrans.cn/27/2631/263059/263059_54.png无关紧要 发表于 2025-3-31 02:13:41
SeCEE: Edge Environment Data Sharing and Processing Framework with Service Composition, computing paradigm for the edge environment is proposed to enable real-time data analysis with large volumes of data by decentralizing heavy computational loads and reducing the consumption of network bandwidth. Data ownership can provide substantial commercial interests for data owners. However, tnutrients 发表于 2025-3-31 07:22:20
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http://reply.papertrans.cn/27/2631/263059/263059_57.pngBOLUS 发表于 2025-3-31 16:12:05
http://reply.papertrans.cn/27/2631/263059/263059_58.pngARCH 发表于 2025-3-31 20:06:58
An Importance-and-Semantics-Aware Approach for Entity Resolution Using MLP,d data cleaning tasks. Although deep learning techniques of data science have transformed various applications, there are few efforts to leverage these techniques to deal with entity resolution. We also observe the importance of overlapped tokens and the semantic similarity from pre-trained word vec种子 发表于 2025-3-31 22:34:53
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