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FQAS
2004
Springer
146views Database» more  FQAS 2004»
15 years 10 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
16 years 14 days ago
Pruning Social Networks Using Structural Properties and Descriptive Attributes
Scale is often an issue with understanding and making sense of large social networks. Here we investigate methods for pruning social networks by determining the most relevant rela...
Lisa Singh, Lise Getoor, Louis Licamele
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
16 years 7 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
CORR
2007
Springer
170views Education» more  CORR 2007»
15 years 6 months ago
Animation of virtual mannequins, robot-like simulation or motion captures
— In order to optimize the costs and time of design of the new products while improving their quality, concurrent engineering is based on the digital model of these products, the...
Damien Chablat
AAAI
1996
15 years 8 months ago
Learning Models for Multi-Source Integration
One issue involved in accessing multiple heterogeneous information sources is how to integrate the retrieved data. SIMS, an information mediator, handles this problem by mapping t...
Sheila Tejada, Craig A. Knoblock, Steven Minton