Towards Advanced Data Analysis by Combining Soft Computing and Statistics

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Towards Advanced Data Analysis by Combining Soft Computing and Statistics is written by Christian Borgelt and published by Springer. It's available with International Standard Book Number or ISBN identification 3642302785 (ISBN 10) and 9783642302787 (ISBN 13).

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.