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» Evaluation of Sampling for Data Mining of Association Rules
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81
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AIED
2009
Springer
15 years 7 months ago
Intelligent Learning Object Guide (iLOG): A Framework for Automatic Empirically-Based Metadata Generation
Abstract. We present a framework for the automatic annotation of learning objects (LOs) with empirical usage metadata. Our implementation of the Intelligent Learning Object Guide (...
S. A. Riley, Lee Dee Miller, Leen-Kiat Soh, Ashok ...
MCS
2001
Springer
15 years 5 months ago
Finding Consistent Clusters in Data Partitions
Abstract. Given an arbitrary data set, to which no particular parametrical, statistical or geometrical structure can be assumed, different clustering algorithms will in general pr...
Ana L. N. Fred
118
Voted
SEMCO
2008
IEEE
15 years 7 months ago
TcruziKB: Enabling Complex Queries for Genomic Data Exploration
We developed a novel analytical environment to aid in the examination of the extensive amount of interconnected data available for genome projects. Our focus is to enable ity and ...
Pablo N. Mendes, Bobby McKnight, Amit P. Sheth, Je...
118
Voted
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 28 days ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
BMCBI
2006
126views more  BMCBI 2006»
15 years 17 days ago
Effect of data normalization on fuzzy clustering of DNA microarray data
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
Seo Young Kim, Jae Won Lee, Jong Sung Bae