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IEAAIE
2009
Springer
13 years 12 months ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
SAC
2004
ACM
13 years 10 months ago
Mining dependence rules by finding largest itemset support quota
In the paper a new data mining algorithm for finding the most interesting dependence rules is described. Dependence rules are derived from the itemsets with support significantly ...
Alexandr A. Savinov
WEBNET
2000
13 years 6 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...
NLUCS
2008
13 years 6 months ago
Ontology-driven Vaccination Information Extraction
Increasingly, medical institutions have access to clinical information through computers. The need to process and manage the large amount of data is motivating the recent interest ...
Liliana Ferreira, António Teixeira, Jo&atil...
ICEIS
2009
IEEE
13 years 12 months ago
NARFO Algorithm: Mining Non-redundant and Generalized Association Rules Based on Fuzzy Ontologies
Traditional approaches for mining generalized association rules are based only on database contents, and focus on exact matches among items. However, in many applications, the use ...
Rafael Garcia Miani, Cristiane A. Yaguinuma, Maril...