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SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 5 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein
WCRE
2003
IEEE
14 years 1 months ago
Extracting an Explicitly Data-Parallel Representation of Image-Processing Programs
Our research goal is to retarget image processing programs written in sequential languages (e.g., C) to architectures with data-parallel processing capabilities. Image processing ...
Lewis B. Baumstark Jr., Murat Guler, Linda M. Will...
EDBT
2004
ACM
110views Database» more  EDBT 2004»
14 years 8 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
14 years 9 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
14 years 9 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai