Urban land use prediction model with spatiotemporal data mining and gis

Weiguo Liu, Karen C. Seto, Zhanli Sun, Yong Tian

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Scopus citations

Abstract

Huge amounts of data have posed great challenges to traditional data analysis methods for information and knowledge extraction. Data mining (application of lowlevel algorithms for revealing hidden information in a database) (Klosgen and Zytkow, 1996) has emerged as a new research field and a new technology in the last decade. Data mining represents the interdisciplinary research of several fields, including machine learning, neural network, statistics, database, visualization, and information theory (Koperski et al., 1996).

Original languageEnglish
Title of host publicationUrban Remote Sensing
PublisherCRC Press
Pages165-178
Number of pages14
ISBN (Electronic)9781420008807
ISBN (Print)9780849391996
StatePublished - Jan 1 2006

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