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» Efficient Algorithms for Discovering Association Rules
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WEBNET
2000
15 years 1 months ago
Mining the Most Interesting Web Access Associations
: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patte...
Li Shen, Ling Cheng, James Ford, Fillia Makedon, V...
EDBT
2000
ACM
15 years 3 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...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 4 days ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
PPSN
2004
Springer
15 years 5 months ago
Web Page Classification with an Ant Colony Algorithm
This paper utilizes Ant-Miner – the first Ant Colony algorithm for discovering classification rules – in the field of web content mining, and shows that it is more effective th...
Nicholas Holden, Alex Alves Freitas
105
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CIKM
2006
Springer
15 years 3 months ago
Matching directories and OWL ontologies with AROMA
This paper presents a simple and adaptable matching method dealing with web directories, catalogs and OWL ontologies. By using a well-known Knowledge Discovery in Databases model,...
Jérôme David, Fabrice Guillet, Henri ...