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» On the Complexity of Mining Association Rules
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PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
15 years 11 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
KBS
2006
79views more  KBS 2006»
15 years 6 months ago
Using multiple and negative target rules to make classifiers more understandable
One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible. However, the current rule based cla...
Jiuyong Li, Jason Jones
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
15 years 11 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
ICDE
2007
IEEE
209views Database» more  ICDE 2007»
16 years 15 days ago
Hierarchical Temporal Association Mining for Video Event Detection in Video Databases
With the proliferation of multimedia data and evergrowing requests for multimedia applications, new challenges are emerged for efficient and effective managing and accessing large...
Min Chen, Shu-Ching Chen, Mei-Ling Shyu
SDM
2004
SIAM
271views Data Mining» more  SDM 2004»
15 years 7 months ago
A Foundational Approach to Mining Itemset Utilities from Databases
Most approaches to mining association rules implicitly consider the utilities of the itemsets to be equal. We assume that the utilities of itemsets may differ, and identify the hi...
Hong Yao, Howard J. Hamilton, Cory J. Butz