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Descriptive Modelling and Pattern Discovery in Spatial Data Mining - Sharma, Lokesh Kumar
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Sharma, Lokesh Kumar:

Descriptive Modelling and Pattern Discovery in Spatial Data Mining - Taschenbuch

ISBN: 3846592153

ID: 15359334880

[EAN: 9783846592151], Neubuch, Publisher/Verlag: LAP Lambert Academic Publishing | Regionalisation and Association Rule Mining | 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. | Format: Paperback | Language/Sprache: english | 171 gr | 219x149x7 mm | 116 pp

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Descriptive Modelling and Pattern Discovery in Spatial Data Mining - Lokesh Kumar Sharma
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Lokesh Kumar Sharma:

Descriptive Modelling and Pattern Discovery in Spatial Data Mining - Taschenbuch

2011, ISBN: 3846592153

ID: 10409434664

[EAN: 9783846592151], Nieuw boek, [SC: 19.95], [PU: Lap Lambert Academic Publishing Nov 2011], This item is printed on demand - Print on Demand Titel. - 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. 116 pp. Englisch

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Descriptive Modelling and Pattern Discovery in Spatial Data Mining - Lokesh Kumar Sharma
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Lokesh Kumar Sharma:
Descriptive Modelling and Pattern Discovery in Spatial Data Mining - Taschenbuch

2011

ISBN: 3846592153

ID: 10409434664

[EAN: 9783846592151], Neubuch, [PU: LAP Lambert Academic Publishing Nov 2011], This item is printed on demand - Print on Demand Titel. Neuware - 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. 116 pp. Englisch

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Descriptive Modelling and Pattern Discovery in Spatial Data Mining - Lokesh Kumar Sharma
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Lokesh Kumar Sharma:
Descriptive Modelling and Pattern Discovery in Spatial Data Mining - neues Buch

ISBN: 9783846592151

ID: 143280439

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. Regionalisation and Association Rule Mining Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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Descriptive Modelling and Pattern Discovery in Spatial Data Mining - Lokesh Kumar Sharma
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Lokesh Kumar Sharma:
Descriptive Modelling and Pattern Discovery in Spatial Data Mining - neues Buch

ISBN: 9783846592151

ID: c4b2e329f265b803ca1cb0c5bb435de2

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. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV

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Details zum Buch
Descriptive Modelling and Pattern Discovery in Spatial Data Mining
Autor:

Sharma, Lokesh Kumar

Titel:

Descriptive Modelling and Pattern Discovery in Spatial Data Mining

ISBN-Nummer:

3846592153

Detailangaben zum Buch - Descriptive Modelling and Pattern Discovery in Spatial Data Mining


EAN (ISBN-13): 9783846592151
ISBN (ISBN-10): 3846592153
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2011
Herausgeber: Lap Lambert Academic Publishing

Buch in der Datenbank seit 03.04.2009 16:37:54
Buch zuletzt gefunden am 18.10.2016 18:21:21
ISBN/EAN: 3846592153

ISBN - alternative Schreibweisen:
3-8465-9215-3, 978-3-8465-9215-1

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