Descriptive Modelling and Pattern Discovery in Spatial Data Mining

Name: Descriptive Modelling and Pattern Discovery in Spatial Data Mining
Brand: LAP Lambert Academic Publishing
SKU: 9783846592151
Price: 42.53 EUR
Availability: InStock

Regionalisation and Association Rule Mining

Autor: Lokesh Kumar Sharma

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP Lambert Academic Publishing

Dostupnosť: Skladom u dodávateľa

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The explosive growth of spatial data and the widespread use of spatial databases put emphasis on the...

Informácie o knihe

Autor

Lokesh Kumar Sharma

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2011

Stránok

116

EAN

9783846592151

Enbook ID

07089574

Vydavateľ

LAP Lambert Academic Publishing

Hmotnosť

177

Rozmery

149 x 219 x 7

Kompletný popis

The explosive growth of spatial data and the widespread use of spatial databases put emphasis on the extraction of interesting and implicit knowledge such as the spatial pattern or other significant mode not explicitly stored in the spatial databases. Knowledge discovery in large spatial database is important for the extraction of implicit knowledge. Spatial relations or other patterns are not explicitly stored in spatial database. Traditional Data mining techniques are not efficient and effective to mine the spatial data due to its unique features such as spatial dependency, heterogeneity, spatially aggregated data etc. Thus, new and efficient mining methods are needed to discover knowledge from large spatial databases. A descriptive modeling technique for georeferenced data is discussed and it is also used to solve the regionalization problem. Multi Level Multi Dimensional is an important aspect for Spatial Data. The Multi Level Multi Dimensional pattern discovery on spatial data is presented here. Mining the trajectory data or mobility data is an emerging area of research. The Trajectory data classifier which is based on the Nearest Neighbor is introduced.

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Descriptive Modelling and Pattern Discovery in Spatial Data Mining

Regionalisation and Association Rule Mining

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Kompletný popis

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