Sciweavers

111 search results - page 3 / 23
» Adaptive Model Rules From High-Speed Data Streams
Sort
View
CIKM
2010
Springer
13 years 4 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
CVPR
2009
IEEE
15 years 1 months ago
A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial LiDAR Data
We present a streaming framework for seamless building reconstruction from huge aerial LiDAR point sets. By storing data as stream files on hard disk and using main memory as only ...
Qian-Yi Zhou (University of Southern California), ...
INFFUS
2008
175views more  INFFUS 2008»
13 years 6 months ago
Adaptive optimization of join trees for multi-join queries over sensor streams
Data processing applications for sensor streams have to deal with multiple continuous data streams with inputs arriving at highly variable and unpredictable rates from various sour...
Joseph S. Gomes, Hyeong-Ah Choi
TKDE
2008
169views more  TKDE 2008»
13 years 6 months ago
A Cost-Based Approach to Adaptive Resource Management in Data Stream Systems
Data stream management systems need to control their resources adaptively since stream characteristics and query workload may vary over time. In this paper we investigate an approa...
Michael Cammert, Jürgen Krämer, Bernhard...
PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
13 years 11 months ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo