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PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
15 years 6 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
CINQ
2004
Springer
225views Database» more  CINQ 2004»
15 years 6 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci
IJCAI
2003
15 years 2 months ago
Mining Video Associations for Efficient Database Management
To support more efficient video database management, this paper explores the concept of video association mining, with which the association patterns are characterized by sequenti...
Xingquan Zhu, Xindong Wu
JIIS
2006
100views more  JIIS 2006»
15 years 1 months ago
Spatial associative classification: propositional vs structural approach
Spatial associative classification takes advantage of employing association rules for spatial classification purposes. In this work, we investigate spatial associative classificati...
Michelangelo Ceci, Annalisa Appice
KDD
1998
ACM
122views Data Mining» more  KDD 1998»
15 years 5 months ago
Memory Placement Techniques for Parallel Association Mining
Many data mining tasks (e.g., Association Rules, Sequential Patterns) use complex pointer-based data structures (e.g., hash trees) that typically suffer from sub-optimal data loca...
Srinivasan Parthasarathy, Mohammed Javeed Zaki, We...