£118.59

Springer Information-Statistical Data Mining - Oracle Basics

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Description

Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics provides a comprehensive look at the intersection of data warehousing and data mining. This volume introduces fundamental concepts alongside advanced research techniques to help professionals manage large data sets and perform Exploratory Data Analysis (EDA). What sets this book apart is its unique approach to bridging the gap between statistics and information theory through the study of patterns. It is specifically written for a professional audience, including industry practitioners and academic researchers who require practical solutions for hosting and analyzing massive data environments. By using Oracle basics as a foundation, the text offers a clear path toward understanding how to integrate complex data mining processes within a warehouse structure. This resource is an essential addition to the Springer International Series in Engineering and Computer Science for those working at the forefront of data science and information technology.

Key Features

Bridges the gap between statistics and information theory through a specialized focus on pattern concepts.

Covers fundamental concepts and advanced research techniques for hosting large-scale data sets.

Provides practical solutions for data warehousing and Exploratory Data Analysis (EDA).

Includes specific examples of Oracle basics to assist with warehouse integration.

Designed for professional researchers and industry practitioners needing technical depth.

Part of the Springer International Series in Engineering and Computer Science.

Product Specifications

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

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