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JMLR
2012
11 years 10 months ago
Bounding the Probability of Error for High Precision Optical Character Recognition
We consider a model for which it is important, early in processing, to estimate some variables with high precision, but perhaps at relatively low recall. If some variables can be ...
Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. L...
ASIAMS
2009
IEEE
13 years 8 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
AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak
EDM
2009
104views Data Mining» more  EDM 2009»
13 years 5 months ago
Visualization of Differences in Data Measuring Mathematical Skills
Identification of significant differences in sets of data is a common task of data mining. This paper describes a novel visualization technique that allows the user to interactivel...
Lukás Zoubek, Michal Burda
AUSDM
2006
Springer
122views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Analysis of Breast Feeding Data Using Data Mining Methods
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical surv...
Hongxing He, Huidong Jin, Jie Chen, Damien McAulla...