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Titlebook: Web Information Systems and Applications; 18th International C Chunxiao Xing,Xiaoming Fu,Chaolemen Borjigin Conference proceedings 2021 Spr

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樓主: 冰凍
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發(fā)表于 2025-3-23 12:24:47 | 只看該作者
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發(fā)表于 2025-3-23 14:51:04 | 只看該作者
Configurable In-Database Similarity Search of Electronic Medical Records Typical EMRs contain attributes of different data types including string, enumeration and numeric data, and are commonly stored in a database. However, many EMR similarity search algorithms neither separate different data types nor conduct search directly in the database. In addition, for researche
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發(fā)表于 2025-3-23 22:01:01 | 只看該作者
Database Native Approximate Query Processing Based on Machine-Learninggh all kinds of tools. The large volumes of them inevitably increase the workload of calculation, lengthen the response time of applications and negatively impact the user experience. Approximate Query Processing (AQP) is proposed to alleviate this issue. Although many researchers continuously impro
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發(fā)表于 2025-3-24 01:29:35 | 只看該作者
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發(fā)表于 2025-3-24 02:35:48 | 只看該作者
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發(fā)表于 2025-3-24 07:43:37 | 只看該作者
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發(fā)表于 2025-3-24 10:52:08 | 只看該作者
Real-Time Aggregation Approach for Power Quality Data in China. Real-time aggregation of power quality data is a prerequisite to achieve the targets. Since power quality data generated by over 10,000 monitors are extremely massive, data aggregations of different indicators meet great challenges for time-consuming. An aggregation framework with the inc
18#
發(fā)表于 2025-3-24 18:02:20 | 只看該作者
Real-Time Aggregation Approach for Power Quality Data in China. Real-time aggregation of power quality data is a prerequisite to achieve the targets. Since power quality data generated by over 10,000 monitors are extremely massive, data aggregations of different indicators meet great challenges for time-consuming. An aggregation framework with the inc
19#
發(fā)表于 2025-3-24 21:42:22 | 只看該作者
Decision Behavior Based Private Vehicle Trajectory Generation Towards Smart?Citiesajectory data of social vehicles (private vehicles) because of personal privacy and government policies. This paper absorbs the idea of game theory, considers the influence of individuals in the group, and proposes a decision behavior based dataset generation (DBDG) model of vehicles to predict futu
20#
發(fā)表于 2025-3-24 23:26:49 | 只看該作者
Decision Behavior Based Private Vehicle Trajectory Generation Towards Smart?Citiesajectory data of social vehicles (private vehicles) because of personal privacy and government policies. This paper absorbs the idea of game theory, considers the influence of individuals in the group, and proposes a decision behavior based dataset generation (DBDG) model of vehicles to predict futu
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