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» Evaluation of Sampling for Data Mining of Association Rules
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118
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ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
15 years 7 months 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...
104
Voted
IDEAL
2009
Springer
15 years 7 months ago
Quantitative Association Rules Applied to Climatological Time Series Forecasting
M. Martínez-Ballesteros, Francisco Mart&iac...
74
Voted
DAWAK
2005
Springer
15 years 6 months ago
Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques
Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Alle...
104
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BTW
1999
Springer
145views Database» more  BTW 1999»
15 years 4 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
121
Voted
FUZZIEEE
2007
IEEE
15 years 6 months 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...