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DIS
2009
Springer
13 years 10 months ago
Player Modeling for Intelligent Difficulty Adjustment
In this paper we aim at automatically adjusting the difficulty of computer games by clustering players into different types and supervised prediction of the type from short traces ...
Olana Missura, Thomas Gärtner
DIS
2009
Springer
14 years 4 months ago
Discovering Influential Nodes for SIS Models in Social Networks
We address the problem of efficiently discovering the influential nodes in a social network under the susceptible/infected/susceptible (SIS) model, a diffusion model where nodes ar...
Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
DIS
2009
Springer
14 years 7 months ago
A Dialectic Approach to Problem-Solving
We analyze the dynamics of problem-solving in a framework which captures two key features of that activity. The first feature is that problem-solving is a social game where a numb...
Éric Martin, Jean Sallantin
DIS
2009
Springer
14 years 7 months ago
Learning Large Margin First Order Decision Lists for Multi-Class Classification
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
DIS
2009
Springer
14 years 7 months ago
Linear Programming Boosting by Column and Row Generation
Abstract. We propose a new boosting algorithm based on a linear programming formulation. Our algorithm can take advantage of the sparsity of the solution of the underlying optimiza...
Kohei Hatano, Eiji Takimoto
DIS
2009
Springer
14 years 7 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
DIS
2009
Springer
14 years 7 months ago
Towards an Ontology of Data Mining Investigations
Motivated by the need for unification of the domain of data mining and the demand for formalized representation of outcomes of data mining investigations, we address the task of c...
Pance Panov, Larisa N. Soldatova, Saso Dzeroski
DIS
2009
Springer
14 years 7 months ago
Using Data Mining for Wine Quality Assessment
Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physicochemical (e.g alcohol levels) and sensory (e...
Paulo Cortez, Juliana Teixeira, António Cer...