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CRC Press Quality Aspects in Spatial Data Mining - CRC Press

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Description

Quality Aspects in Spatial Data Mining addresses the critical challenge of data precision in spatial information processing and geographic information systems. This comprehensive resource explores practical and theoretical solutions for managing the complexities of spatial data, which inherently involves interpretation and abstraction of real-world geographic phenomena. The book examines state-of-the-art techniques for spatial data mining while emphasising the quality assurance methods necessary when working with imprecise spatial information. It provides essential guidance for professionals dealing with large volumes of spatial datasets, offering frameworks for understanding and mitigating the uncertainties that arise when translating reality into digital geographic models. By bridging the gap between theoretical concepts and real-world application, this CRC Press publication equips readers with the knowledge to implement robust quality control processes in spatial data mining projects.

Key Features

Quality Aspects in Spatial Data Mining covers state-of-the-art techniques for processing spatial information within geographic information systems effectively.

The CRC Press book provides both practical and theoretical solutions for managing imprecise spatial data and interpretative challenges.

Focuses on quality assurance methods essential for spatial data mining projects handling large concrete datasets.

Addresses the fundamental gap between abstract geographic models and real-world spatial phenomena in data processing.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 November 2008
Listed Since
20 July 2007

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