£107.73

Springer : Towards Advanced Data Analysis (Soft Computing 285)

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Description

Improve your understanding of complex data processing with Towards Advanced Data Analysis by Combining Soft Computing and Statistics. This volume from the Studies in Fuzziness and Soft Computing series (285) provides a unique way to merge the speed of soft computing with the precision of statistical methods. By combining these two fields, the text helps enhance the robustness and generalizability of data analysis while maintaining the flexibility needed to solve real-world problems. This book is designed for those seeking a clear and readable introduction to this emerging viewpoint. The content maintains high mathematical rigor and includes real-world examples or experimental data to ensure the theories are applicable to practical scenarios. It serves as a valuable resource for researchers and professionals in AI, machine learning, and computer science who need to navigate complex datasets with both efficiency and accuracy.

Key Features

Combines soft computing adaptability with statistical rigor to improve data analysis robustness and generalizability.

Provides high mathematical rigor suitable for advanced studies in computer science and machine learning.

Includes real-world examples and experimental data to demonstrate practical applications of the theories.

Offers a clear and readable text that serves as an introduction to merging soft computing and statistics.

Part of the Studies in Fuzziness and Soft Computing series, volume 285, for specialized academic study.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
20 September 2014
Listed Since
23 September 2014

Barcode

No barcode data available

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