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Titlebook: Database Systems for Advanced Applications; 20th International C Matthias Renz,Cyrus Shahabi,Muhammad Aamir Cheema Conference proceedings 2

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楼主: OBESE
发表于 2025-3-28 15:29:30 | 显示全部楼层
Tracing Errors in Probabilistic Databases Based on the Bayesian Networkerrors in traditional databases, but they fall short of guiding us to find errors in probabilistic databases, especially for databases with complex correlations among data. In this paper, we propose a method for tracing errors in probabilistic databases by adopting Bayesian network (BN) as the frame
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Mining Frequent Spatial-Textual Sequence Patternslocation-based services. One such kind of data is Spatial-Textual sequential data (Activity-Trajectory data), i.e. a sequence of locations visited by a user with each location having a set of activities performed by the user is a Spatial-Textual sequence. Mining such data for knowledge discovery is
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Skyline Trips of Multiple POIs Categoriesiven a road network with a set of Points of Interest (POIs) from different categories, a list of items the user is planning to purchase and a pricing function for items at each related POI; find the skyline trips in term of both trip length and trip aggregated cost. This query has important applicat
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Keyword-Aware Dominant Route Search for Various User Preferencescify their requirements. Recently, a new kind of keyword-aware optimal route (KOR) query is proposed for finding an optimal route such that it covers a set of user-specified keywords, it satisfies a budget constraint (e.g., time), and the total popularity of the route is maximized. For example, a us
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TOF: A Throughput Oriented Framework for Spatial Queries Processing in Multi-core Environmentnal approaches to spatial query processing were focused on reduction of query latency. In real world, most LBS applications emphasize throughput rather than query latency. TOF is designed to achieve maximum throughput. Instead of resorting to complex indexes, TOF chooses to execute a batch queries a
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