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ISSRE
2007
IEEE
15 years 7 months ago
Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software
This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high probability of fault. The s...
Erik Arisholm, Lionel C. Briand, Magnus Fuglerud
SIGKDD
2010
128views more  SIGKDD 2010»
15 years 4 days ago
On cross-validation and stacking: building seemingly predictive models on random data
A number of times when using cross-validation (CV) while trying to do classification/probability estimation we have observed surprisingly low AUC's on real data with very few...
Claudia Perlich, Grzegorz Swirszcz
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
15 years 9 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
CORR
2004
Springer
218views Education» more  CORR 2004»
15 years 5 months ago
A Dynamic Clustering-Based Markov Model for Web Usage Mining
Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
José Borges, Mark Levene
KDD
2001
ACM
153views Data Mining» more  KDD 2001»
16 years 5 months ago
Evaluation of prediction models for marketing campaigns
We consider prediction-model evaluation in the context of marketing-campaign planning. In order to evaluate and compare models with specific campaign objectives in mind, we need t...
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vat...