Geographic data mining and knowledge discovery: Second edition

Harvey J. Miller, Jiawei Han

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases Since the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has been a rise in the use of knowledge discovery techniques due to the increasing collection and storage of data on spatiotemporal processes and mobile objects. Incorporating these novel developments, this second edition reflects the current state of the art in the field. New to the Second Edition • Updated material on geographic knowledge discovery (GKD), GDW research, map cubes, spatial dependency, spatial clustering methods, clustering techniques for trajectory data, the INGENS 2.0 software, and GVis techniques • New chapter on data quality issues in GKD • New chapter that presents a tree-based partition querying methodology for medoid computation in large spatial databases • New chapter that discusses the use of geographically weighted regression as an exploratory technique • New chapter that gives an integrated approach to multivariate analysis and geovisualization • Five new chapters on knowledge discovery from spatiotemporal and mobile objects databases Geographic data mining and knowledge discovery is a promising young discipline with many challenging research problems. This book shows that this area represents an important direction in the development of a new generation of spatial analysis tools for data-rich environments. Exploring various problems and possible solutions, it will motivate researchers to develop new methods and applications in this emerging field.

Original languageEnglish (US)
Title of host publicationGeographic Data Mining and Knowledge Discovery, Second Edition
PublisherCRC Press
Pages1-475
Number of pages475
ISBN (Electronic)9781420073980
ISBN (Print)9781420073973
DOIs
StatePublished - Jan 1 2009

Fingerprint

data mining
Data mining
Data warehouses
integrated approach
multivariate analysis
data quality
spatial analysis
spatial data
trajectory
software
methodology
Trajectories
method

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)
  • Earth and Planetary Sciences(all)

Cite this

Miller, H. J., & Han, J. (2009). Geographic data mining and knowledge discovery: Second edition. In Geographic Data Mining and Knowledge Discovery, Second Edition (pp. 1-475). CRC Press. https://doi.org/10.1201/9781420073980

Geographic data mining and knowledge discovery : Second edition. / Miller, Harvey J.; Han, Jiawei.

Geographic Data Mining and Knowledge Discovery, Second Edition. CRC Press, 2009. p. 1-475.

Research output: Chapter in Book/Report/Conference proceedingChapter

Miller, HJ & Han, J 2009, Geographic data mining and knowledge discovery: Second edition. in Geographic Data Mining and Knowledge Discovery, Second Edition. CRC Press, pp. 1-475. https://doi.org/10.1201/9781420073980
Miller HJ, Han J. Geographic data mining and knowledge discovery: Second edition. In Geographic Data Mining and Knowledge Discovery, Second Edition. CRC Press. 2009. p. 1-475 https://doi.org/10.1201/9781420073980
Miller, Harvey J. ; Han, Jiawei. / Geographic data mining and knowledge discovery : Second edition. Geographic Data Mining and Knowledge Discovery, Second Edition. CRC Press, 2009. pp. 1-475
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