GEOGRAPHIC DATA MINING AND KNOWLEDGE DISCOVERY by Miller, Harvey J ISBN 0415233690
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[edit] GEOGRAPHIC DATA MINING AND KNOWLEDGE DISCOVERY
Advances in automated data collection are creating massive databases and a whole new field. Developed out of contributions to the highly-respected Varenius Project in 1999, this collection addresses the special challenges to be found in knowledge discovery and data mining from geographic databases.
Advances in automated data collection - for example the automated point-of-sale data collection devices at retail outlets - are generating increasingly massive databases. This amount of data can easily overwhelm traditional database management systems and general statistical methods. In response to these new databases, sometimes containing millions or billions of records, a new field of Knowledge Discovery in Databases (KDD) has emerged to develop methodologies for massive repositories of data (data warehousing) and exploratory analysis of such large databases using efficient computational methods (data mining). The unique challenges brought about by storing such massive geographical databases has enabled these new fields of study to emerge. Developed out of the renowned Varenius Project in 1999, this book will be the definitive volume on geographical knowledge discovery and data mining from geographical databases. Containing contributions by many of the World's leading experts, Geographic Data Mining and Knowledge Discovery has been released at the perfect time, as there is virtually nothing else published yet for those working on these systems. The contributors span geographic information science, geography and computer science, providing the proper interdisciplinary scope for this emerging field.
[edit] Book Details
[edit] Title
GEOGRAPHIC DATA MINING AND KNOWLEDGE DISCOVERY
[edit] Author
Miller, Harvey J
[edit] ISBN
0415233690
[edit] Published
11/10/2001
[edit] Publisher
Taylor & Francis
[edit] Binding
hardback
[edit] Retail Price
79.99 (GBP)
[edit] Typical Price Online
75.99 (GBP)
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