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» Learning Rule Representations from Boolean Data
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111
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SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
15 years 2 months ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
BDA
2001
15 years 2 months ago
Query-Driven Knowledge Discovery via OLAP manipulations
We study KDD (Knowledge Discovery in Databases) processes on OLAP (multidimensional and multilevel) data from a query point of view. Focusing on association rule mining, we consid...
Jean-François Boulicaut, Patrick Marcel, Ch...
ICML
1999
IEEE
16 years 1 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
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 5 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
126
Voted
AIIA
2005
Springer
15 years 6 months ago
Mining Relational Association Rules for Propositional Classification
In traditional classification setting, training data are represented as a single table, where each row corresponds to an example and each column to a predictor variable or the targ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba