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VISSYM
2004
15 years 1 months ago
TimeHistograms for Large, Time-Dependent Data
Histograms are a very useful tool for data analysis, because they show the distribution of values over a data dimension. Many data sets in engineering (like computational fluid dy...
Robert Kosara, Fabian Bendix, Helwig Hauser
IMSCCS
2006
IEEE
15 years 5 months ago
Clustering of Gene Expression Data: Performance and Similarity Analysis
Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
Longde Yin, Chun-Hsi Huang
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 4 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
ECML
2004
Springer
15 years 5 months ago
Associative Clustering
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Sa...
IJSEKE
2006
138views more  IJSEKE 2006»
14 years 11 months ago
Towards Automatic Establishment of Model Dependencies Using Formal Concept Analysis
tion and alteration of software models at different levels of abstraction. These modifications are usually performed independently, but the objects to which they are applied to, ar...
Igor Ivkovic, Kostas Kontogiannis