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FSTTCS
2005
Springer
15 years 5 months ago
Practical Algorithms for Tracking Database Join Sizes
We present novel algorithms for estimating the size of the natural join of two data streams that have efficient update processing times and provide excellent quality of estimates....
Sumit Ganguly, Deepanjan Kesh, Chandan Saha
CLUSTER
2005
IEEE
15 years 5 months ago
Fast Query Processing by Distributing an Index over CPU Caches
Data intensive applications on clusters often require requests quickly be sent to the node managing the desired data. In many applications, one must look through a sorted tree str...
Xiaoqin Ma, Gene Cooperman
ICTAI
2008
IEEE
15 years 6 months ago
Real-Time Classification of Streaming Sensor Data
The last decade has seen a huge interest in classification of time series. Most of this work assumes that the data resides in main memory and is processed offline. However, recent...
Shashwati Kasetty, Candice Stafford, Gregory P. Wa...
SIGKDD
2008
100views more  SIGKDD 2008»
14 years 11 months ago
Higher order mining
The value of knowledge obtainable by analysing large quantities of data is widely acknowledged. However, so-called primary or raw data may not always be available for knowledge di...
John F. Roddick, Myra Spiliopoulou, Daniel Lister,...
SAC
2005
ACM
15 years 5 months ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...