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Publication
431views
15 years 7 months ago
Incremental Evaluation of Sliding-window Queries over Data Streams
Thanaa M. Ghanem, Moustafa A. Hammad, Mohamed F. Mokbel, Walid G. Aref, and Ahmed K. Elmagarmid. "Incremental Evaluation of Sliding-window Queries over Data Streams". IEE...
Thanaa M. Ghanem, Moustafa A. Hammad, Mohamed F. M...
KAIS
2008
150views more  KAIS 2008»
13 years 7 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
VLDB
2005
ACM
196views Database» more  VLDB 2005»
14 years 1 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
JCST
2008
175views more  JCST 2008»
13 years 7 months ago
Improved Approximate Detection of Duplicates for Data Streams Over Sliding Windows
Detecting duplicates in data streams is an important problem that has a wide range of applications. In general, precisely detecting duplicates in an unbounded data stream is not fe...
Hong Shen, Yu Zhang
ICDE
2009
IEEE
184views Database» more  ICDE 2009»
14 years 2 months ago
Scalable Keyword Search on Large Data Streams
Abstract— It is widely realized that the integration of information retrieval (IR) and database (DB) techniques provides users with a broad range of high quality services. A new ...
Lu Qin, Jeffrey Xu Yu, Lijun Chang, Yufei Tao