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» An Event Spacing Experiment
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KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 11 months ago
Semi-supervised time series classification
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
Li Wei, Eamonn J. Keogh
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
14 years 11 months ago
BLOSOM: a framework for mining arbitrary boolean expressions
We introduce a novel framework (BLOSOM) for mining (frequent) boolean expressions over binary-valued datasets. We organize the space of boolean expressions into four categories: p...
Lizhuang Zhao, Mohammed J. Zaki, Naren Ramakrishna...
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
14 years 11 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
14 years 11 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
CHI
2008
ACM
14 years 11 months ago
K-sketch: a 'kinetic' sketch pad for novice animators
Because most animation tools are complex and timeconsuming to learn and use, most animations today are created by experts. To help novices create a wide range of animations quickl...
Richard C. Davis, Brien Colwell, James A. Landay