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» Warping the time on data streams
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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
ICDCS
2007
IEEE
14 years 2 months ago
Streaming Algorithms for Robust, Real-Time Detection of DDoS Attacks
Effective mechanisms for detecting and thwarting Distributed Denial-of-Service (DDoS) attacks are becoming increasingly important to the success of today’s Internet as a viable ...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
HOTOS
1999
IEEE
14 years 22 hour ago
Conductor: A Framework for Distributed Adaptation
Abstract--End-to-end connectivity is growing increasingly diverse, with orders of magnitude differences in characteristics throughout the network. At the same time, most applicatio...
Mark Yarvis, Peter L. Reiher, Gerald J. Popek
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don
DAWAK
2006
Springer
13 years 11 months ago
An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
Jia-Ling Koh, Shu-Ning Shin