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CRC Press - Quality Aspects in Spatial Data Mining Book

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Description

Spatial information processing has seen significant progress, yet the transition from models of reality in a GIS to actual reality remains a challenge. Because spatial processes often involve imprecision and interpretation of abstract data, managing information requires specialized knowledge. Quality Aspects in Spatial Data Mining addresses these challenges by exploring the state-of-the-art in the field. This text focuses on data quality, providing both practical and theoretical solutions to help professionals make sense of the massive amounts of concrete data available today. By understanding how to handle the often chaotic nature of spatial information, readers can better navigate the complexities of modern data mining processes.

Key Features

Explores the current state-of-the-art techniques used in spatial information processing and data mining.

Provides a deep focus on data quality to help manage imprecise spatial information and abstract figures.

Offers practical and theoretical solutions for interpreting complex and overwhelming concrete data sets.

Addresses the fundamental differences between GIS models of reality and reality itself.

Helps professionals navigate the chaotic nature of large-scale spatial data environments.

Product Specifications

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

Barcode

No barcode data available

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