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» TCAM-conscious Algorithms for Data Streams
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ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
14 years 1 months ago
STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding Windows
Sensor devices are becoming ubiquitous, especially in measurement and monitoring applications. Because of the real-time, append-only and semi-infinite natures of the generated se...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
HPDC
2005
IEEE
14 years 1 months ago
Adaptive data block scheduling for parallel TCP streams
Applications that use parallel TCP streams to increase throughput must multiplex and demultiplex data blocks over a set of TCP streams transmitting on one or more network paths. W...
Thomas J. Hacker, Brian D. Noble, Brian D. Athey
DMS
2008
106views Multimedia» more  DMS 2008»
13 years 9 months ago
A Multimedia Data Streams Model for Content-based Information Retrieval
: Multimedia applications nowadays are becoming the standard, for they utilize the enormous human brain computational power. In the past, the Relational Database Model was generali...
Shenoda Guirguis, Rohit Kulkarni, Shi-Kuo Chang
CIKM
2009
Springer
13 years 11 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
14 years 7 months ago
Approximately detecting duplicates for streaming data using stable bloom filters
Traditional duplicate elimination techniques are not applicable to many data stream applications. In general, precisely eliminating duplicates in an unbounded data stream is not f...
Fan Deng, Davood Rafiei