小丑 发表于 2025-3-25 04:26:52
http://reply.papertrans.cn/27/2636/263525/263525_21.png性冷淡 发表于 2025-3-25 09:26:59
http://reply.papertrans.cn/27/2636/263525/263525_22.pngGlycogen 发表于 2025-3-25 12:49:26
http://reply.papertrans.cn/27/2636/263525/263525_23.png食品室 发表于 2025-3-25 18:43:04
Why Query Plans Are Different: An Automatic Detection and Inference System-action framework and takes the detected differences as the input to explore the possible reasons behind them. We test . with analytic workloads on a production database. Compared to developers, . can find the right reason in most cases with much less time. . has been deployed in TiDB to help opti天空 发表于 2025-3-25 20:32:18
kNN Join for Dynamic High-Dimensional Data: A Parallel Approachet . to identify their . nearest neighbor points from the Item dataset .. This operation plays a crucial role in various domains, including knowledge discovery, data mining, similarity search applications, and scientific research. However, exact kNN search in high-dimensional spaces is computationalAmplify 发表于 2025-3-26 02:52:13
http://reply.papertrans.cn/27/2636/263525/263525_26.pngPalatial 发表于 2025-3-26 07:31:00
Probabilistic Reverse Top-k Query on Probabilistic Data-most interest based on their objects’ references. Moreover, answering the queries on probabilistic data has been studied in many applications. The most common problem with uncertain queries is how to calculate their probabilities. Currently, there are some proposed solutions for selecting answers tPTCA635 发表于 2025-3-26 12:09:09
http://reply.papertrans.cn/27/2636/263525/263525_28.png只有 发表于 2025-3-26 15:47:18
Learning Implicit Sentiment for Explainable Review-Based Recommendationsting in the same review may cause confusion in recommendations and generate inappropriate explanations. However, most current explainable recommendation methods fail to capture users’ implicit sentiment behind the reviews. In this paper, we propose a novel .mplicit .entiment learning model for .xplSpinal-Fusion 发表于 2025-3-26 17:26:55
http://reply.papertrans.cn/27/2636/263525/263525_30.png