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» Discovering Robust Knowledge from Databases that Change
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VL
2010
IEEE
209views Visual Languages» more  VL 2010»
13 years 6 months ago
Automatically Inferring ClassSheet Models from Spreadsheets
Many errors in spreadsheet formulas can be avoided if spreadsheets are built automatically from higher-level models that can encode and enforce consistency constraints. However, d...
Jacome Cunha, Martin Erwig, Joao Saraiva
FIMI
2004
161views Data Mining» more  FIMI 2004»
13 years 9 months ago
ABS: Adaptive Borders Search of frequent itemsets
In this paper, we present an ongoing work to discover maximal frequent itemsets in a transactional database. We propose an algorithm called ABS for Adaptive Borders Search, which ...
Frédéric Flouvat, Fabien De Marchi, ...
ICPADS
2005
IEEE
14 years 1 months ago
A Hint-Based Probabilistic Protocol for Unicast Communications in MANETs
Point-to-point transmissions represent a fundamental primitive in any communication network. Despite many proave appeared in the literature, providing an efficient implementation ...
Roberto Beraldi, Leonardo Querzoni, Roberto Baldon...
DEXA
2008
Springer
123views Database» more  DEXA 2008»
13 years 9 months ago
Emerging Pattern Based Classification in Relational Data Mining
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
14 years 2 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson