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» Ontology-Enhanced Association Mining
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CIBCB
2009
IEEE
13 years 11 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
CINQ
2004
Springer
225views Database» more  CINQ 2004»
14 years 3 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
DEXA
2007
Springer
98views Database» more  DEXA 2007»
14 years 4 months ago
Extracting Sequential Nuggets of Knowledge
Abstract. We present the notion of sequential association rule and introduce Sequential Nuggets of Knowledge as sequential association rules with possible low support and good qual...
Christine Froidevaux, Frédérique Lis...
PKDD
2007
Springer
147views Data Mining» more  PKDD 2007»
14 years 4 months ago
MINI: Mining Informative Non-redundant Itemsets
Frequent itemset mining assists the data mining practitioner in searching for strongly associated items (and transactions) in large transaction databases. Since the number of frequ...
Arianna Gallo, Tijl De Bie, Nello Cristianini
DIS
2004
Springer
14 years 3 months ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo