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102
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CORR
2008
Springer
77views Education» more  CORR 2008»
15 years 3 months ago
Data-Oblivious Stream Productivity
Abstract. We are concerned with demonstrating productivity of specifications of infinite streams of data, based on orthogonal rewrite rules. In general, this property is undecidabl...
Jörg Endrullis, Clemens Grabmayer, Dimitri He...
139
Voted
ICS
2010
Tsinghua U.
15 years 5 months ago
Timing local streams: improving timeliness in data prefetching
Data prefetching technique is widely used to bridge the growing performance gap between processor and memory. Numerous prefetching techniques have been proposed to exploit data pa...
Huaiyu Zhu, Yong Chen, Xian-He Sun
141
Voted
KDD
2009
ACM
187views Data Mining» more  KDD 2009»
16 years 4 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
131
Voted
JCST
2008
121views more  JCST 2008»
15 years 3 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
152
Voted
USENIX
2008
15 years 6 months ago
Wide-Scale Data Stream Management
This paper describes Mortar, a distributed stream processing platform for building very large queries across federated systems (enterprises, grids, datacenters, testbeds). Nodes i...
Dionysios Logothetis, Ken Yocum