Towards Advanced Data Analysis by Combining Soft Computing and Statistics

Borgelt, Christian (Editor)/ Alvarez, Maria Angeles Gil (Editor)/ Sousa, Joao M. Da Costa (Editor)/ Verleysen, Michel (Editor)

ISBN 10: 3642302777 / ISBN 13: 9783642302770

Published by Springer-Verlag New York Inc, 2012

About this Item

2013 edition. 378 pages. 9.25x6.25x0.75 inches. In Stock.

Seller Inventory # x-3642302777

Bibliographic Details

• Title: Towards Advanced Data Analysis by Combining Soft Computing and Statistics
• Publisher: Springer-Verlag New York Inc
• Publication Date: 2012
• Language: English
• ISBN 10: 3642302777
• ISBN 13: 9783642302770
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.72 kilograms

About this title

Synopsis

Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis.
Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty.
Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data by analyzing the possible situations and their (relative) likelihood. It emphasizes the need for mathematical methods and tools to assess solutions and guarantee performance.
Combining the two fields enhances the robustness and generalizability of data analysis methods, while preserving the flexibility to solve real-world problems efficiently and intuitively.