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PRL
2002
67views more  PRL 2002»
15 years 6 months ago
A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
Missing data handling is an important preparation step for most data discrimination or mining tasks. Inappropriate treatment of missing data may cause large errors or false result...
Xiaolu Huang, Qiuming Zhu
153
Voted
EDBT
2002
ACM
123views Database» more  EDBT 2002»
16 years 6 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...
ASIAMS
2009
IEEE
15 years 7 months ago
Uncovering Hidden Information Within University's Student Enrollment Data Using Data Mining
To date, higher educational organizations are placed in a very high competitive environment. To remain competitive, one approach is to tackle the student and administration challen...
Fadzilah Siraj, Mansour Ali Abdoulha
IBPRIA
2005
Springer
16 years 5 days ago
Solving Particularization with Supervised Clustering Competition Scheme
The process of mixing labelled and unlabelled data is being recently studied in semi-supervision techniques. However, this is not the only scenario in which mixture of labelled and...
Oriol Pujol, Petia Radeva
IGIS
1994
156views GIS» more  IGIS 1994»
15 years 10 months ago
Optimizing Spatial Data Structures For Static Data
During the last decade various spatial data structures have been designed and compared against each other, all of them re ecting a dynamic situation with ongoing object insertion a...
Lukas Bachmann, Bernd-Uwe Pagel, Hans-Werner Six