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ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 9 months ago
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
Charu C. Aggarwal, Philip S. Yu
CIKM
2003
Springer
14 years 27 days ago
Queueing analysis of relational operators for continuous data streams
Currently, stream data processing is an active area of research, which includes everything from algorithms and architectures for stream processing to modelling and analysis of var...
Qingchun Jiang, Sharma Chakravarthy
ESCAPE
2007
Springer
212views Algorithms» more  ESCAPE 2007»
14 years 1 months ago
Streaming Algorithms for Data in Motion
We propose two new data stream models: the reset model and the delta model, motivated by applications to databases, and to tracking the location of spatial points. We present algor...
Michael Hoffmann 0002, S. Muthukrishnan, Rajeev Ra...
DEXA
2006
Springer
143views Database» more  DEXA 2006»
13 years 11 months ago
Multivariate Stream Data Classification Using Simple Text Classifiers
We introduce a classification framework for continuous multivariate stream data. The proposed approach works in two steps. In the preprocessing step, it takes as input a sliding wi...
Sungbo Seo, Jaewoo Kang, Dongwon Lee, Keun Ho Ryu
KAIS
2008
150views more  KAIS 2008»
13 years 7 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng