<span>New technologies and computing methodologies are now used to address the existing issues of urban traffic systems. The development of computational intelligence methods such as machine learning and deep learning, enables engineers to find innovative solutions to guide traffic in order to reduc
Computational intelligence in intelligent data analysis
β Scribed by Kruse, Rudolf;Moewes, Christian
- Publisher
- Springer
- Year
- 2013
- Tongue
- English
- Leaves
- 298
- Series
- Studies in computational intelligence 445
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Part I Fuzzy Data Analysis.- Part II Hybrid Intelligent Systems.- Part III Uncertainty in Knowledge-based Systems.- Part IV Intelligent Data Analysis.- Part V Applications.- Part VI Closing Remarks.
β¦ Subjects
ANALYSE DE DONNΓES (STATISTIQUE MATHΓMATIQUE);APPLICATIONS INFORMATIQUES EN SCIENCE NATURELLE ET EN TECHNIQUE;COMPUTER APPLICATIONS IN PHYSICAL SCIENCES AND ENGINEERING;COMPUTERANWENDUNGEN/NATURWISSENSCHAFTEN UND TECHNIK;DATA ANALYSIS (MATHEMATICAL STATISTICS);DATENANALYSE (MATHEMATISCHE STATISTIK);INTELLIGENT SYSTEMS (ARTIFICIAL INTELLIGENCE);INTELLIGENTE SYSTEME (KΓNSTLICHE INTELLIGENZ);SOFT COMPUTING (ARTIFICIAL INTELLIGENCE);SOFT COMPUTING (INTELLIGENCE ARTIFICIELLE);SOFT COMPUTING (KΓNSTLIC
π SIMILAR VOLUMES
This comprehensive book highlights soft computing and geostatistics applications in hydrocarbon exploration and production, combining practical and theoretical aspects. It spans a wide spectrum of applications in the oil industry, crossing many discipline boundaries such as geophysics, geology, pet
"Intelligent data analysis techniques offer powerful solutions to collecting and analyzing vast quantities of environmental and economic data, which lead to better decision making for sustainable development. This volume is the first to discuss the treatment of intelligent data analysis techniques i
This book introduces the growing range of computational methods which arise from research into Artificial Intelligence (AI), and which are coming to be recognised as tools of great potential in modern scientific analysis. These methods offer tremendous potential in the analysis of scientific data: p
<p><p>The International Conference on β<b>Computational Intelligence in Data Mining</b>β (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration. The best selected conference papers are reviewed and compiled to form this volume. The proceedings discusses