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Geographic Data Mining and Knowledge Discovery (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
 
 

Geographic Data Mining and Knowledge Discovery (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) [Hardcover]

Harvey J. Miller (Editor), Jiawei Han (Editor)
4.0 out of 5 stars  See all reviews (2 customer reviews)


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Book Description

0415233690 978-0415233699 October 11, 2001 1
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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Product Details

  • Hardcover: 372 pages
  • Publisher: CRC Press; 1 edition (October 11, 2001)
  • Language: English
  • ISBN-10: 0415233690
  • ISBN-13: 978-0415233699
  • Product Dimensions: 9.4 x 6.3 x 1.1 inches
  • Shipping Weight: 1.3 pounds
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #3,604,383 in Books (See Top 100 in Books)

 

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4.0 out of 5 stars Good coverage of key areas, January 4, 2007
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This review is from: Geographic Data Mining and Knowledge Discovery (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) (Hardcover)
The book does a nice job of covering a lot of the key areas and outstanding problems in the area of geographic data mining. Although it does have some coverage of temporal problems related to the field, it would benefit from more coverage of this up and comming research area. Overall a great way to quickly get familliar with the research in this area.
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4.0 out of 5 stars A very complet book on very specific subject, May 22, 2004
By 
Vallaud (Issy Les Moulineaux France) - See all my reviews
This review is from: Geographic Data Mining and Knowledge Discovery (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) (Hardcover)
I think it's the lone book which speaks in a such level of details of data mining applied to geographic problems in a sort of overview of all of them.
The most interesting chapters are for me in the part 3 of the book more focus of classical data mining algorithms but in integrating a geographic (x/y) component.
Even if the book lakes a little bit of concistency because it's a sum of articles of different autors this book should be in your own library if you do data mining, geomarketng or both.
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Inside This Book (learn more)
First Sentence:
Similar to many research and application fields, geography has moved from a data-poor and computation-poor to a data-rich and computation-rich environment. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
behaviour warehouse, land evaluation process, vegetation durability, spatial data warehouse, knowledge construction forms, householder population density, geographic data mining, spatial trend detection, neighbourhood index, spatial data mining, neighbourhood paths, cartographic preferences, geographic knowledge discovery, map cube, mobile behaviour, geometric union, conifer class, mobile trajectories, spatial association rules, discordancy tests, obstructed distance, database primitives, knowledge construction process, neighbourhood graph, cube operator
Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, New York, Data Engineering, Lecture Notes, John Wiley, Management of Data, Very Large Data Bases, Morgan Kaufmann, Technical Report, International Journal of Geographical Information Systems, Academic Press, Company Year Region Sales, Los Alamitos, International Journal of Geographic Information Science, International Journal of Geographical Information Science, Computer Society Press, Inductive Logic Programming, Bibliography Agrawal, British Columbia, North Scotland, Population Where, San Diego, South Scotland, Cambridge University Press, Federal Geographic Data Committee
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