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BMCBI
2007
176views more  BMCBI 2007»
15 years 5 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
DIAGRAMS
2006
Springer
15 years 8 months ago
Canonical Correlation Analysis: Use of Composite Heliographs for Representing Multiple Patterns
In a study of crew interaction with the automatic flight control system of the Boeing 757/767 aircraft, we observed 60 flights and recorded every change in the aircraft control mo...
Asaf Degani, Michael G. Shafto, Leonard Olson
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 9 months ago
On Computing Condensed Frequent Pattern Bases
Frequent pattern mining has been studied extensively. However, the effectiveness and efficiency of this mining is often limited, since the number of frequent patterns generated i...
Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han
TOOLS
1998
IEEE
15 years 9 months ago
Declarative Reasoning about the Structure of Object-Oriented Systems
The structure of object-oriented systems typically forms a complicated, tangled web of interdependent classes. Understanding this implicit and hidden structure poses severe proble...
Roel Wuyts
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
15 years 11 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey