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PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
14 years 1 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
GRC
2010
IEEE
13 years 8 months ago
Local Pattern Mining from Sequences Using Rough Set Theory
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
Ken Kaneiwa, Yasuo Kudo
ATAL
2004
Springer
14 years 1 months ago
Agent-Based Peer-to-Peer Service Networks: A Study of Effectiveness and Structure Evolution
We study peer-to-peer service networks consisting of autonomous agents who seek and provide services. To fulfill its local needs, an agent attempts to discover and select informa...
Yathiraj B. Udupi, Pinar Yolum, Munindar P. Singh
ICMCS
2008
IEEE
115views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Spatial pyramid mining for logo detection in natural scenes
This work introduces a novel data mining scheme, spatial pyramid mining, to discover association rules at multiple resolutions in order to identify frequent spatial configuration...
Jim Kleban, Xing Xie, Wei-Ying Ma
SSR
2001
134views more  SSR 2001»
13 years 9 months ago
Generation of visitor components that implement program transformations
The visitor pattern is appealing to developers of program-analysis tools because it separates the design of the data structures that represent a program from the design of softwar...
Kurt Stirewalt, Laura K. Dillon