Results 211 to 220 of about 36,814 (268)
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Proceedings of the 2012 ACM conference on Computer and communications security, 2012
In a verifiable data streaming protocol, the client streams a long string to the server who stores it in its database. The stream is verifiable in the sense that the server can neither change the order of the elements nor manipulate them. The client may also retrieve data from the database and update them.
Dominique Schröder, Heike Schröder
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In a verifiable data streaming protocol, the client streams a long string to the server who stores it in its database. The stream is verifiable in the sense that the server can neither change the order of the elements nor manipulate them. The client may also retrieve data from the database and update them.
Dominique Schröder, Heike Schröder
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Spatial data streaming or streaming spatial data
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application, 2010Have you ever counted the number of times the word "streaming" has occurred in a geospatial oriented conference proceedings over the past few years? Have you ever monitored the growth of the geospatial research and industrial community? Have you ever noticed that geospatial researchers are living the luxury of an era where real-time data is streamed at
Balan Sethu Raman, Mohamed H. Ali
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Proceedings 41st Annual Symposium on Foundations of Computer Science, 2002
We study clustering under the data stream model of computation where: given a sequence of points, the objective is to maintain a consistently good clustering of the sequence observed so far, using a small amount of memory and time. The data stream model is relevant to new classes of applications involving massive data sets, such as Web click stream ...
Sudipto Guha +3 more
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We study clustering under the data stream model of computation where: given a sequence of points, the objective is to maintain a consistently good clustering of the sequence observed so far, using a small amount of memory and time. The data stream model is relevant to new classes of applications involving massive data sets, such as Web click stream ...
Sudipto Guha +3 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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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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Recommendations For Streaming Data
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016Recommender systems have become increasingly popular in recent years because of the broader popularity of many web-enabled electronic commerce applications. However, most recommender systems today are designed in the context of an offline setting.
Karthik Subbian +2 more
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On the monotonicity of a data stream
Combinatorica, 2014In this paper the authors consider problems related to the sortedness of a data stream. In the first part of this work the problem of estimating the distance to monotonicity is investigated. Then the problem of approximating the length of the longest increasing subsequence of the input stream is discussed.
Funda Ergün, Hossein Jowhari
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2014 IEEE 30th International Conference on Data Engineering, 2013
Data stream warehousing is a data management technology designed to simultaneously handle big-data and fast-data. Conceptually, a data stream warehouse can be thought of as a data warehouse system that is updated in nearly-real time rather than during downtimes, or as a data stream management system that stores a very long history. In this tutorial, we
Lukasz Golab, Theodore Johnson
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Data stream warehousing is a data management technology designed to simultaneously handle big-data and fast-data. Conceptually, a data stream warehouse can be thought of as a data warehouse system that is updated in nearly-real time rather than during downtimes, or as a data stream management system that stores a very long history. In this tutorial, we
Lukasz Golab, Theodore Johnson
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