Machine Models and Lower Bounds for Query Processing - Theorie .Machine Models and Lower Bounds for Query Processing. Nicole Schweikardt. Institut für Informatik, Humboldt-Universität zu Berlin, Germany schweikainformatik.hu-berlin. ABSTRACT. This paper gives an overview of recent work on machine models for processing massive amounts of data. The main focus is on gen-.quary processing machine,Temporal Query Processing and Optimization in . - CiteSeerXIn this paper, we discuss issues involving tempo- ral data fragmentation, temporal query processing, and query optimization in multiprocessor database machines. We propose parallel processing strategies, which are based on partitioning of temporal relations on timestamp values, for multi-way joins (e.g., com-.
Adaptive Query Processing with the CrowdSep 21, 2017 . Hybrid human-machine query processing systems, such as crowd-powered database systems, aim to broaden the scope of questions users can ask about their data by incorporating human computation to support queries that may be subjective and/or require visual or semantic interpretation. A common.Query Segmentation – Query UnderstandingApr 28, 2017 . Slow computation may be an acceptable expense or inconvenience for training, but it can be a show-stopper if it noticeably slows down query processing. A supervised machine learning approach is more robust than one based on a dictionary, since it can represent context in the feature vector. But it's a.
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