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» Data Mining Methodological Weaknesses and Suggested Fixes
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EDM
2009
116views Data Mining» more  EDM 2009»
13 years 5 months ago
Dimensions of Difficulty in Translating Natural Language into First-Order Logic
In this paper, we present a study of a large corpus of student logic exercises in which we explore the relationship between two distinct measures of difficulty: the proportion of s...
Dave Barker-Plummer, Richard Cox, Robert Dale
KBSE
2009
IEEE
14 years 2 months ago
Evaluating the Accuracy of Fault Localization Techniques
—We investigate claims and assumptions made in several recent papers about fault localization (FL) techniques. Most of these claims have to do with evaluating FL accuracy. Our in...
Shaimaa Ali, James H. Andrews, Tamilselvi Dhandapa...
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang
KDD
2003
ACM
133views Data Mining» more  KDD 2003»
14 years 8 months ago
Interactive Analysis of Gene Interactions Using Graphical gaussian model
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Xintao Wu, Yong Ye, Kalpathi R. Subramanian
BMCBI
2006
126views more  BMCBI 2006»
13 years 7 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo