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HPDC
2000
IEEE
8 years 10 months ago
dQUOB: Managing Large Data Flows using Dynamic Embedded Queries
The dQUOB system satis es client need for speci c information from high-volume data streams. The data streams we speak of are the ow of data existing during large-scale visualizat...
Beth Plale, Karsten Schwan
STOC
2010
ACM
199views Algorithms» more  STOC 2010»
8 years 11 months ago
Zero-One Frequency Laws
Data streams emerged as a critical model for multiple applications that handle vast amounts of data. One of the most influential and celebrated papers in streaming is the “AMS...
Vladimir Braverman and Rafail Ostrovsky
VLDB
2004
ACM
108views Database» more  VLDB 2004»
8 years 11 months ago
QStream: Deterministic Querying of Data Streams
Current developments in processing data streams are based on the best-effort principle and therefore not adequate for many application areas. When sensor data is gathered by inte...
Sven Schmidt, Henrike Berthold, Wolfgang Lehner
VLDB
2004
ACM
227views Database» more  VLDB 2004»
8 years 11 months ago
Approximate NN queries on Streams with Guaranteed Error/performance Bounds
In data stream applications, data arrive continuously and can only be scanned once as the query processor has very limited memory (relative to the size of the stream) to work with...
Nick Koudas, Beng Chin Ooi, Kian-Lee Tan, Rui Zhan...
VLDB
2004
ACM
129views Database» more  VLDB 2004»
8 years 11 months ago
Detecting Change in Data Streams
Detecting changes in a data stream is an important area of research with many applications. In this paper, we present a novel method for the detection and estimation of change. In...
Daniel Kifer, Shai Ben-David, Johannes Gehrke
ISAAC
2004
Springer
117views Algorithms» more  ISAAC 2004»
8 years 11 months ago
Adaptive Spatial Partitioning for Multidimensional Data Streams
We propose a space-efficient scheme for summarizing multidimensional data streams. Our sketch can be used to solve spatial versions of several classical data stream queries effici...
John Hershberger, Nisheeth Shrivastava, Subhash Su...
DAWAK
2004
Springer
8 years 11 months ago
SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
Kok-Leong Ong, Wenyuan Li, Wee Keong Ng, Ee-Peng L...
CIKM
2004
Springer
8 years 11 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
VLDB
2005
ACM
96views Database» more  VLDB 2005»
8 years 11 months ago
Robust Real-time Query Processing with QStream
Processing data streams with Quality-ofService (QoS) guarantees is an emerging area in existing streaming applications. Although it is possible to negotiate the result quality and...
Sven Schmidt, Thomas Legler, Sebastian Schär,...
TEAA
2005
Springer
126views Hardware» more  TEAA 2005»
8 years 11 months ago
Towards a Secure Data Stream Management System
Abstract. Todays data stream management systems (DSMSs) lack security functionality. Based on adversary scenarios we show how a DSMS architecture can be protected. We sketch a gene...
Wolfgang Lindner, Jörg Meier
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