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نویسندهالهام‌گیری

Evolutionary Computation in Data Mining

Keigo Watanabe, M.M.A. Hashem

قیمت نهایی

۴۹٬۰۰۰ تومان

نسخه اصلی و اورجینال

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تحویل فوری
پرداخت امن
ضمانت فایل
پشتیبانی

مشخصات کتاب

نویسنده
Keigo Watanabe, M.M.A. Hashem
ناشر
Springer Spektrum. in Springer-Verlag GmbH
سال انتشار
۲۰۰۴
فرمت
PDF
زبان
انگلیسی
حجم فایل
۱۶٫۲ مگابایت
شابک
9783540209010، 9783540398837، 9783642058875، 3540209018، 354039883X، 3642058876

دربارهٔ کتاب

This book reflects and advances the state of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms. It emphasizes the utility of different evolutionary computing tools to various facets of knowledge discovery from databases, ranging from theoretical analysis to real-life applications. "Evolutionary Computation in Data Mining" provides a balanced mixture of theory, algorithms and applications in a cohesive manner, and demonstrates how the different tools of evolutionary computation can be used for solving real-life problems in data mining and bioinformatics.

Evolutionary computation, a broad field that includes genetic algorithms, evolution strategies, and evolutionary programming, has proven to offer well-suited techniques for industrial and management tasks - therefore receiving considerable attention from scientists and engineers during the last decade. This monograph develops and analyzes evolutionary algorithms that can be successfully applied to real-world problems such as robotic control. Although of particular interest to robotic control engineers, Evolutionary Computations also may interest the large audience of researchers, engineers, designers and graduate students confronted with complicated optimization tasks.

A large number of problems in engineering, science and management can be formulated as global optimization problem [19, 147].

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