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» Evaluation of Sampling for Data Mining of Association Rules
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178
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ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
16 years 11 days ago
Mining Allocating Patterns in One-Sum Weighted Items
An Association Rule (AR) is a common knowledge model in data mining that describes an implicative cooccurring relationship between two disjoint sets of binary-valued transaction d...
Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y...
156
Voted
IDEAL
2009
Springer
16 years 15 days ago
Quantitative Association Rules Applied to Climatological Time Series Forecasting
M. Martínez-Ballesteros, Francisco Mart&iac...
134
Voted
DAWAK
2005
Springer
15 years 11 months ago
Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques
Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Alle...
157
Voted
BTW
1999
Springer
145views Database» more  BTW 1999»
15 years 10 months ago
A Multi-Tier Architecture for High-Performance Data Mining
Data mining has been recognised as an essential element of decision support, which has increasingly become a focus of the database industry. Like all computationally expensive data...
Ralf Rantzau, Holger Schwarz
177
Voted
FUZZIEEE
2007
IEEE
16 years 8 days ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...