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Towards Advanced Data Analysis by Combining Soft Computing and Statistics

Produktform: Buch / Einband - flex.(Paperback)

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.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-642-44374-9 / 978-3642443749 / 9783642443749

Verlag: Springer Berlin

Erscheinungsdatum: 20.09.2014

Seiten: 378

Auflage: 1

Herausgegeben von Christian Borgelt, María Angeles Gil, Michel Verleysen, João M.C. Sousa

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