Overview
- The book aims to describe how soft computing and statical methods can be used together to improve data analysis
- Advances research in soft computing and statical methods for data analysis
- Written by leading experts in the field
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 285)
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Table of contents (28 chapters)
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Front Matter
Keywords
About this book
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.
Reviews
From the reviews:
“This excellent volume will serve as an introduction to an important merging of viewpoints. The papers are generally very good and the text is clear and readable. The mathematical rigor is high and nearly all papers include real-world examples or experimental data. … This book is a valuable resource for those employed in statistical and soft computing, and a useful work for promoting better connections between these two fields.” (Creed Jones, ACM Computing Reviews, December, 2012)
Editors and Affiliations
Bibliographic Information
Book Title: Towards Advanced Data Analysis by Combining Soft Computing and Statistics
Editors: Christian Borgelt, María Ángeles Gil, João M.C. Sousa, Michel Verleysen
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-642-30278-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-30277-0Published: 29 August 2012
Softcover ISBN: 978-3-642-44374-9Published: 20 September 2014
eBook ISBN: 978-3-642-30278-7Published: 29 August 2012
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: X, 378
Topics: Computational Intelligence, Probability and Statistics in Computer Science, Data Mining and Knowledge Discovery, Simulation and Modeling