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» On exploiting the power of time in data mining
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SDM
2010
SIAM
202views Data Mining» more  SDM 2010»
13 years 6 months ago
Multiresolution Motif Discovery in Time Series
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Nuno Castro, Paulo J. Azevedo
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 8 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
14 years 18 days ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
KDD
1998
ACM
165views Data Mining» more  KDD 1998»
13 years 12 months ago
Daily Prediction of Major Stock Indices from Textual WWW Data
We predict stock markets using information containedin articles published on the Web. Mostly textual articles appearingin the leading and the most influential financial newspapers...
Beat Wüthrich, D. Permunetilleke, S. Leung, V...
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 4 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