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Data Mining: Foundations and Intelligent Paradigms VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects /
Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 2 of this three volume series, we have brought together contributions from some of the most prestigious researchers in theoretical data mining. Each of the chapters is self contained. Statisti...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Colección: | Intelligent Systems Reference Library,
24 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- From the content: Data Mining with Multilayer Perceptrons and Support Vector Machines
- Regulatory Networks under Ellipsoidal Uncertainty - Data Analysis and Prediction by Optimization Theory and Dynamical Systems
- A Visual Environment for Designing and Running Data Mining Workflows in the Knowledge Grid
- Formal framework for the Study of Algorithmic Properties of Objective Interestingness Measures
- Nonnegative Matrix Factorization: Models, Algorithms and Applications
- Visual Data Mining and Discovery with Binarized Vectors.