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» On understanding data abstraction, revisited
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DAGSTUHL
2011
13 years 9 months ago
Salient Frame Detection for Molecular Dynamics Simulations
Saliency-based analysis can be applied to time-varying 3D datasets purpose of summarization, abstraction, and motion analysis. As the sizes of time-varying datasets continue to gro...
Youngmin Kim, Robert Patro, Cheuk Yiu Ip, Dianne P...
IWPC
2003
IEEE
15 years 3 months ago
Facilitating Program Comprehension by Mining Association Rules from Source Code
Program comprehension is an important part of software maintenance, especially when program structure is complex and documentation is unavailable or outdated. Data mining can prod...
Christos Tjortjis, Loukas Sinos, Paul J. Layzell
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
15 years 1 months ago
Mining Quantitative Association Rules in Protein Sequences
Abstract. Lot of research has gone into understanding the composition and nature of proteins, still many things remain to be understood satisfactorily. It is now generally believed...
Nitin Gupta, Nitin Mangal, Kamal Tiwari, Pabitra M...
CAISE
2004
Springer
15 years 3 months ago
Description Logics for Interoperability
tween documents. They should allow for an abstract representation of data which resembles the way they are actually perceived and used in the real world, thus shortening (with resp...
Enrico Franconi
BMCBI
2008
122views more  BMCBI 2008»
14 years 9 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang