by Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Boston, MA :
نام ناشر، پخش کننده و غيره
Imprint: Springer,
تاریخ نشرو بخش و غیره
1998.
فروست
عنوان فروست
Springer International Series in Engineering and Computer Science,
مشخصه جلد
458
شاپا ي ISSN فروست
0893-3405 ;
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.
ویراست دیگر از اثر در قالب دیگر رسانه
شماره استاندارد بين المللي کتاب و موسيقي
9781461375579
قطعه
عنوان
Springer eBooks
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Artificial intelligence.
موضوع مستند نشده
Computer science.
موضوع مستند نشده
Data structures (Computer science).
موضوع مستند نشده
Information storage and retrieval systems.
موضوع مستند نشده
Management information systems.
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )