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EDBT
2000
ACM
13 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
EDBT
2002
ACM
123views Database» more  EDBT 2002»
14 years 7 months ago
UMiner: A Data Mining System Handling Uncertainty and Quality
In this paper we present UMiner, a new data mining system, which improves the quality of the data analysis results, handles uncertainty in the clustering & classification proce...
Christos Amanatidis, Maria Halkidi, Michalis Vazir...
PKDD
2000
Springer
109views Data Mining» more  PKDD 2000»
13 years 10 months ago
Quality Scheme Assessment in the Clustering Process
Maria Halkidi, Michalis Vazirgiannis, Yannis Batis...
FSKD
2010
Springer
205views Fuzzy Logic» more  FSKD 2010»
13 years 4 months ago
Research on spatial data mining based on uncertainty in Government GIS
Uncertainty is the intrinsic property of spatial data and one of important factors affecting the course of spatial data mining. There are diversiform forms for the essentiality an...
Bin Li, Lihong Shi, Jiping Liu
TIFS
2011
252views Education» more  TIFS 2011»
13 years 1 months ago
Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength
—Data quality assessment is a key issue, in order to broad the applicability of iris biometrics to unconstrained imaging conditions. Previous research efforts sought to use visib...
Hugo Proença