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Springer Information-Statistical Data Mining - Warehouse Integration Oracle

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Description

Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics introduces essential concepts and advanced techniques for data warehousing and data mining at scale. This Springer publication bridges statistics and information theory through pattern recognition, offering practical solutions for managing large datasets and exploratory data analysis. Designed for researchers and industry practitioners, the book combines theoretical foundations with real-world Oracle examples, making it an invaluable resource for professionals seeking to master data warehouse integration, statistical methods, and mining strategies in modern computing environments.

Key Features

Covers data warehousing fundamentals and data mining techniques with practical Oracle examples throughout.

Bridges statistics and information theory using pattern-based concepts for comprehensive data analysis.

Written for professionals, researchers, and practitioners working with large-scale data management.

Includes exploratory data analysis methods and advanced research techniques for data-driven solutions.

Part of The Springer International Series in Engineering and Computer Science (volume 757).

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 November 2003
Listed Since
22 December 2006

Barcode

No barcode data available

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