Książka Spatio-Temporal Data Mining: Concepts and Challenges A.N.M. Bazlur Rashid

Spatio-Temporal Data Mining: Concepts and Challenges

Issues, Task and Process

Język: Angielski
Oprawa: Miękka
Dostępność: Na zamówienie
Wysyłamy za 17-27 dni
246.60
The spatio-temporal data mining has received considerable attention during the past few years, due t...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2012
strony
144
EAN
9783659263828
Enbook ID
07063295
Waga
231
Wymiary
150 x 220 x 9

Pełny opis

The spatio-temporal data mining has received considerable attention during the past few years, due to the emergence of numerous applications (e.g., flight control systems, weather forecast, mobile computing etc.) that demand efficient management of moving objects. These applications record objects' geographical locations (sometimes also shapes) at various timestamps and support queries that explore their historical and future (predictive) behaviors. The spatio-temporal data mining significantly extends the traditional spatial data mining which deals with only stationary data and hence is inapplicable to moving objects, whose dynamic behavior requires re-investigation of numerous topics including data modeling, indexes and the related query algorithms. In many application areas, huge amounts of data are generated, explicitly or implicitly containing spatial or spatiatemporal information. However, the ability to analyze these data remains inadequate & the need for adapted data mining tools becomes a major challenge. The detail analysis of spatio-temporal data mining and related topics should be useful to the professionals and researchers implementing & improving this type of mining.

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