Geographic Data Mining and Knowledge Discovery
Harvey J. Miller, Jiawei Han
CRC Press, Oct 4, 2003 - Technology & Engineering - 372 pages
Advances in automated data collection are creating massive databases and a whole new field, Knowledge Discovery Databases (KDD), has emerged to develop new methods of managing and exploiting them. Geographic Data Mining and Knowledge Discovery is the interrogation of large databases using efficient computational methods. The unique challenges brought about by the storing of massive geographical databases - from high resolution satellite-based systems to data from intelligent transportation systems, for example - has led to the field of Geographical Knowledge Discovery (GKD). Geographic or spatial data mining is the exploration of these geographical information databases.
Developed out of contributions to the highly-respected Varenius Project in 1999, this collection will be the definitive volume focusing on GKD and addresses the special challenges to be found in knowledge discovery and data mining from geographic databases.
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Geographic Data Mining and Knowledge Discovery, Second Edition
Harvey J. Miller,Jiawei Han
Limited preview - 2009
aggregation analysis application Artificial Intelligence association rules attributes behaviour blackboard cartographic cells classification clustering algorithm complex Computer concept conifer constraints data cube data marts data warehouse data warehousing dataset defined density density-based dimension Discovery and Data distance distribution domain efficient example exploration exploratory Fayyad feature function geographic data mining Geographical Information Systems GVis hierarchy IEEE implemented induction input integration interaction International Conference k-medoids knowledge construction process knowledge discovery learning location-based services MacEachren machine learning map cube methods Mining and Knowledge mobile trajectories multidimensional neighbourhood paths neural networks non-conifer non-spatial observations OLAP operation parameters patterns pixels points prediction problem Proceedings query regions regression relationships representation represented requires SB-PB spatial autocorrelation spatial data mining spatial data warehouses spatial databases spatial dependency spatial objects statistical stored structure task techniques temporal transformation trends values variables vector visualization