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Opis

The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major data-mining systems need concrete information about the underlying technical principles - and their practical manifestations - in order to either integrate commercially available tools or write data-mining programs from scratch. This book is the first technical guide to provide a complete, generalized roadmap for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses. This work: focuses on the preparation and organization of data and the development of an overall strategy for data mining; reviews sophisticated prediction methods that search for patterns in big data; describes how to accurately estimate future performance of proposed solutions; and, illustrates the data-mining process and its potential pitfalls through real-life case studies.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Databases Data capture & analysis

• Pełny tytuł: Predictive Data Mining
• Podtytuł: A Practical Guide
• Autor: Sholom M. Weiss, Nitin Indurkhya
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 228
• EAN: 9781558604032
• ISBN: 1558604030
• ID: 04809007
• Wydawca: Morgan Kaufmann Publishers
• Waga: 364 g
• Wymiary: 230 × 152 × 13 mm
• Data wydania: 08. December 1997

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