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» Improving Data Quality: Consistency and Accuracy
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CLASSIFICATION
2004
59views more  CLASSIFICATION 2004»
13 years 7 months ago
Oscillation Heuristics for the Two-group Classification Problem
: We propose a new nonparametric family of oscillation heuristics for improving linear classifiers in the two-group discriminant problem. The heuristics are motivated by the intuit...
Ognian Asparouhov, Paul A. Rubin
UM
2005
Springer
14 years 26 days ago
Exploring Eye Tracking to Increase Bandwidth in User Modeling
The accuracy of a user model usually depends on the amount and quality of information available on the user’s states of interest. An eye-tracker provides data detailing where a u...
Cristina Conati, Christina Merten, Kasia Muldner, ...
AGILEDC
2007
IEEE
14 years 1 months ago
On the Sustained Use of a Test-Driven Development Practice at IBM
Test-Driven Development (TDD) is an agile practice that is widely accepted and advocated by most agile methods and methodologists. In this paper, we report on a post hoc analysis ...
Julio Cesar Sanchez, Laurie A. Williams, E. Michae...
SEAA
2008
IEEE
14 years 1 months ago
Defect Prediction using Combined Product and Project Metrics - A Case Study from the Open Source "Apache" MyFaces Project Family
The quality evaluation of open source software (OSS) products, e.g., defect estimation and prediction approaches of individual releases, gains importance with increasing OSS adopt...
Dindin Wahyudin, Alexander Schatten, Dietmar Winkl...
ICDE
2007
IEEE
146views Database» more  ICDE 2007»
14 years 8 months ago
Conditional Functional Dependencies for Data Cleaning
We propose a class of constraints, referred to as conditional functional dependencies (CFDs), and study their applications in data cleaning. In contrast to traditional functional ...
Philip Bohannon, Wenfei Fan, Floris Geerts, Xibei ...