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RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
16 years 2 days ago
Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...
EDBT
2000
ACM
15 years 11 months ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
KDD
1995
ACM
182views Data Mining» more  KDD 1995»
15 years 10 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
GIS
2009
ACM
16 years 7 months ago
Analysis of community-contributed space- and time-referenced data
Space- and time-referenced data published on the Web by general people can be viewed in a dual way: as independent spatiotemporal events and as trajectories of people in the geogr...
Gennady Andrienko, Natalia Andrienko, Peter Bak, S...
CHI
2004
ACM
16 years 7 months ago
Connecting time-oriented data and information to a coherent interactive visualization
In modern intensive care units (ICUs), the medical staff has to monitor a huge amount of high-dimensional and timeoriented data, which needs to be visualized user- and taskspecifi...
Ragnar Bade, Stefan Schlechtweg, Silvia Miksch