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KDD
1997
ACM
208views Data Mining» more  KDD 1997»
15 years 1 months ago
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes
In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-gu...
Micheline Kamber, Jiawei Han, Jenny Chiang
ICML
1999
IEEE
15 years 10 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 2 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
ECTEL
2010
Springer
14 years 8 months ago
Preferences in Multiple-View Open Learner Models
Abstract. Educational systems that model the user enable personalisation. Systems that open the model to the user to prompt reflection are increasingly common. These often offer a ...
Susan Bull, Inderdip Gakhal, Daniel Grundy, Matthe...
OOPSLA
2007
Springer
15 years 4 months ago
OOMatch: pattern matching as dispatch in Java
We present a new language feature, specified as an extension to Java. The feature is a form of dispatch which includes and subsumes multimethods (see for example [3]), but which ...
Adam Richard, Ondrej Lhoták