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» Analysis of sampling techniques for association rule mining
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AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
15 years 4 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Ping Liang, John F. Roddick
CICLING
2009
Springer
15 years 4 months ago
Semantic-Based Temporal Text-Rule Mining
Abstract. In many contexts today, documents are available in a number of versions. In addition to explicit knowledge that can be queried/searched in documents, these documents also...
Kjetil Nørvåg, Ole Kristian Fivelstad
ESWA
2006
161views more  ESWA 2006»
14 years 10 months ago
Automated trend analysis of proteomics data using an intelligent data mining architecture
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...
James Malone, Kenneth McGarry, Chris Bowerman
ISI
2005
Springer
15 years 3 months ago
Link Analysis Tools for Intelligence and Counterterrorism
Association rule mining is an important data analysis tool that can be applied with success to a variety of domains. However, most association rule mining algorithms seek to discov...
Antonio Badia, Mehmed M. Kantardzic
KDD
2004
ACM
314views Data Mining» more  KDD 2004»
15 years 10 months ago
Assessment of discretization techniques for relevant pattern discovery from gene expression data
In the domain of gene expression data analysis, various researchers have recently emphasized the promising application of pattern discovery techniques like association rule mining...
Ruggero G. Pensa, Claire Leschi, Jéré...