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» Efficient Algorithms for Attribute-Oriented Induction
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EDBT
2000
ACM
13 years 9 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
AAAI
2006
13 years 7 months ago
Minimum Description Length Principle: Generators Are Preferable to Closed Patterns
The generators and the unique closed pattern of an equivalence class of itemsets share a common set of transactions. The generators are the minimal ones among the equivalent items...
Jinyan Li, Haiquan Li, Limsoon Wong, Jian Pei, Guo...
GIS
2008
ACM
14 years 7 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...
ACSD
2010
IEEE
251views Hardware» more  ACSD 2010»
13 years 4 months ago
Modular Interpretation of Heterogeneous Modeling Diagrams into Synchronous Equations Using Static Single Assignment
Abstract--The ANR project SPaCIFY develops a domainspecific programming environment, Synoptic, to engineer embedded software for space applications. Synoptic is an Eclipse-based mo...
Jean-Pierre Talpin, Julien Ouy, Thierry Gautier, L...
AAAI
1994
13 years 7 months ago
Incremental Recompilation of Knowledge
d Abstract) Goran Gogic l, Christos H. Papadimitriou', and Martha Sideri2 : Approximating a general formula from above and below by Horn formulas (its Horn envelope and Horn c...
Goran Gogic, Christos H. Papadimitriou, Martha Sid...