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» Modeling Problem Transformations based on Data Complexity
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KDD
1998
ACM
120views Data Mining» more  KDD 1998»
15 years 3 months ago
Large Datasets Lead to Overly Complex Models: An Explanation and a Solution
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
Tim Oates, David Jensen
ICDE
2008
IEEE
178views Database» more  ICDE 2008»
16 years 1 months ago
On the Optimal Selection of k in the k-Anonymity Problem
When disseminating data involving human subjects, researchers have to weigh in the requirements of privacy of the individuals involved in the data. A model widely used for enhancin...
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
MODELS
2009
Springer
15 years 6 months ago
Towards Composite Model Transformations Using Distributed Graph Transformation Concepts
Model-based development of highly complex software systems leads to large models. Storing them in repositories offers the possibility to work with these models in a distributed env...
Stefan Jurack, Gabriele Taentzer
ICPR
2004
IEEE
16 years 22 days ago
A Consistency-Based Model Selection for One-Class Classification
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
David M. J. Tax, Klaus-Robert Müller
WSC
1998
15 years 1 months ago
Input Modeling Tools for Complex Problems
A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncer...
Barry L. Nelson, Michael Yamnitsky