Towards Advanced Data Analysis by Combining Soft Computing and Statistics

Towards Advanced Data Analysis by Combining Soft Computing and Statistics
Author :
Publisher : Springer
Total Pages : 378
Release :
ISBN-10 : 9783642302787
ISBN-13 : 3642302785
Rating : 4/5 (785 Downloads)

Book Synopsis Towards Advanced Data Analysis by Combining Soft Computing and Statistics by : Christian Borgelt

Download or read book Towards Advanced Data Analysis by Combining Soft Computing and Statistics written by Christian Borgelt and published by Springer. This book was released on 2012-08-29 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Towards Advanced Data Analysis by Combining Soft Computing and Statistics Related Books

Towards Advanced Data Analysis by Combining Soft Computing and Statistics
Language: en
Pages: 378
Authors: Christian Borgelt
Categories: Technology & Engineering
Type: BOOK - Published: 2012-08-29 - Publisher: Springer

GET EBOOK

Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft computing fo
Building Bridges between Soft and Statistical Methodologies for Data Science
Language: en
Pages: 421
Authors: Luis A. GarcĂ­a-Escudero
Categories: Computers
Type: BOOK - Published: 2022-08-24 - Publisher: Springer Nature

GET EBOOK

Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probab
Towards the Future of Fuzzy Logic
Language: en
Pages: 382
Authors: Rudolf Seising
Categories: Technology & Engineering
Type: BOOK - Published: 2015-05-26 - Publisher: Springer

GET EBOOK

This book provides readers with a snapshot of the state-of-the art in fuzzy logic. Throughout the chapters, key theories developed in the last fifty years as we
Computational Intelligence
Language: en
Pages: 556
Authors: Rudolf Kruse
Categories: Computers
Type: BOOK - Published: 2016-09-16 - Publisher: Springer

GET EBOOK

This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts
Research in Data Science
Language: en
Pages: 302
Authors: Ellen Gasparovic
Categories: Mathematics
Type: BOOK - Published: 2019-03-25 - Publisher: Springer

GET EBOOK

This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the importan