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» Adaptive Model Rules From High-Speed Data Streams
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COMPUTER
2010
127views more  COMPUTER 2010»
13 years 4 months ago
Data Stream Management Systems for Computational Finance
Computational finance leverages computer technologies to build models from large amounts of data to extract insight. In today's networked world, the amount of data available t...
Badrish Chandramouli, Mohamed H. Ali, Jonathan Gol...
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
14 years 6 days ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
EDBT
2009
ACM
136views Database» more  EDBT 2009»
14 years 1 months ago
Rule-based multi-query optimization
Data stream management systems usually have to process many long-running queries that are active at the same time. Multiple queries can be evaluated more efficiently together tha...
Mingsheng Hong, Mirek Riedewald, Christoph Koch, J...
ICMCS
2006
IEEE
136views Multimedia» more  ICMCS 2006»
14 years 22 days ago
Off-Line Motion Description for Fast Video Stream Generation in MPEG-4 AVC/H.264
The rate-distortion optimal mode decision as well as motion estimation adopted in H.264 brings a big challenge to realtime encoding and transcoding duo to the high computation com...
Yi Wang, Xiaoyan Sun, Feng Wu, Shipeng Li, Houqian...
GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
14 years 2 days ago
Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
Olfa Nasraoui, Carlos Rojas, Cesar Cardona