Results 261 to 270 of about 460,908 (314)
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Proceedings of the International Workshop on Semantic Big Data, 2018
We present Stream WatDiv -- an open-source benchmark for streaming RDF data management systems. The proposed benchmark extends the existing WatDiv benchmark, and includes a streaming data generator, a query generator that can produce a diverse set of SPARQL queries, and a testbed to monitor correctness and latency.
Libo Gao +3 more
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We present Stream WatDiv -- an open-source benchmark for streaming RDF data management systems. The proposed benchmark extends the existing WatDiv benchmark, and includes a streaming data generator, a query generator that can produce a diverse set of SPARQL queries, and a testbed to monitor correctness and latency.
Libo Gao +3 more
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Proceedings of the ACM SIGPLAN 2014 Workshop on Partial Evaluation and Program Manipulation, 2014
Stream Fusion, a popular deforestation technique in the Haskell community, cannot fuse the concatMap combinator. This is a serious limitation, as concatMap represents computations on nested streams. The original implementation of Stream Fusion used the Glasgow Haskell Compiler's user-directed rewriting system. A transformation which allows the compiler
Farmer, Andrew +2 more
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Stream Fusion, a popular deforestation technique in the Haskell community, cannot fuse the concatMap combinator. This is a serious limitation, as concatMap represents computations on nested streams. The original implementation of Stream Fusion used the Glasgow Haskell Compiler's user-directed rewriting system. A transformation which allows the compiler
Farmer, Andrew +2 more
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Streams, Stream Transformers and Domain Representations
1998Abstract. We present a general theory for the computation of stream transformers of the form F: (R ? B) ? (T ? A), where time T and R, and data A and B, are discrete or continuous. We show how methods for representing topological algebras by algebraic domains can be applied to transformations of continuous streams. A stream transformer is continuous in
Jens Blanck +2 more
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Streaming Queries over Streaming Data
2002Recent work on querying data streams has focused on systems where newly arriving data is processed and continuously streamed to the user in real-time. In many emerging applications, however, ad hoc queries and/or intermittent connectivity also require the processing of data that arrives prior to query submission or during a period of disconnection. For
Sirish Chandrasekaran +1 more
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Proceedings of the 23rd international conference on World wide web, 2014
One of the most important innovations of social networking websites is the notion of a "feed", a sequence of news items presented to the user as a stream that expands as the user scrolls down. The common method for monetizing such streams is to insert ads in between news items.
Samuel Ieong +2 more
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One of the most important innovations of social networking websites is the notion of a "feed", a sequence of news items presented to the user as a stream that expands as the user scrolls down. The common method for monetizing such streams is to insert ads in between news items.
Samuel Ieong +2 more
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Stream Operators for Querying Data Streams
2005One of the most important uses of aggregate queries over data streams is sampling. Typically, aggregation is performed over sliding windows where queries return new results whenever the window contents change, a concept referred to as a continuous query.
Lisha Ma +3 more
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Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Recently we have seen emergence and huge adoption of social media, internet of things for home, industrial internet of things, mobile applications and online transactions. These systems generate streaming data at very large scale. Building technologies and distributed systems that can capture, process and analyze this streaming data in real time is ...
Ashish Gupta, Neera Agarwal
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Recently we have seen emergence and huge adoption of social media, internet of things for home, industrial internet of things, mobile applications and online transactions. These systems generate streaming data at very large scale. Building technologies and distributed systems that can capture, process and analyze this streaming data in real time is ...
Ashish Gupta, Neera Agarwal
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Liver, 1985
ABSTRACT— Twenty male adult rats weighing 200 g were injected with tritiated thymidine (3HTdR). The animals were then killed in groups of five, at the following times: 1 h, 1, 3 and 5 weeks. Autoradiograms of sections through the liver were prepared. The distances between labelled cells and the portal space rim were measured.
G, Zajicek, R, Oren, M, Weinreb
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ABSTRACT— Twenty male adult rats weighing 200 g were injected with tritiated thymidine (3HTdR). The animals were then killed in groups of five, at the following times: 1 h, 1, 3 and 5 weeks. Autoradiograms of sections through the liver were prepared. The distances between labelled cells and the portal space rim were measured.
G, Zajicek, R, Oren, M, Weinreb
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Proceedings of the sixth workshop on Declarative aspects of multicore programming, 2011
In functional programming, the general technique for supporting stream-based computations is by means of (higher-order) functions external to the underline stream's structure. The proposal of this paper is orthogonal to this view and it is based on an alternative representation of streams that allows employing different functions as stream's ...
Joaquín Aguado, Michael Mendler
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In functional programming, the general technique for supporting stream-based computations is by means of (higher-order) functions external to the underline stream's structure. The proposal of this paper is orthogonal to this view and it is based on an alternative representation of streams that allows employing different functions as stream's ...
Joaquín Aguado, Michael Mendler
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stream(), Stream and Spliterator
2016By now, you have a first impression how you can use stream() and parallelStream(). We want to look behind the scenes and investigate these methods further.
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