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» Scalable Splitting of Massive Data Streams
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GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
13 years 10 months 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
EMNLP
2011
12 years 5 months ago
Approximate Scalable Bounded Space Sketch for Large Data NLP
We exploit sketch techniques, especially the Count-Min sketch, a memory, and time efficient framework which approximates the frequency of a word pair in the corpus without explic...
Amit Goyal, Hal Daumé III
MM
2010
ACM
203views Multimedia» more  MM 2010»
13 years 5 months ago
Processing web-scale multimedia data
The Internet brings us access to multimedia databases with billions of data instances. The massive amount of data available to researchers and application developers brings both o...
Malcolm Slaney, Edward Y. Chang
GIS
2007
ACM
14 years 6 months ago
TerraStream: from elevation data to watershed hierarchies
We consider the problem of extracting a river network and a watershed hierarchy from a terrain given as a set of irregularly spaced points. We describe TerraStream, a "pipeli...
Andrew Danner, Thomas Mølhave, Ke Yi, Panka...
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
14 years 5 months ago
A geometric approach to monitoring threshold functions over distributed data streams
Monitoring data streams in a distributed system is the focus of much research in recent years. Most of the proposed schemes, however, deal with monitoring simple aggregated values...
Izchak Sharfman, Assaf Schuster, Daniel Keren