Spatio-Temporal Data Mining: Concepts and Challenges: Issues, Task and Process

 
9783659263828: Spatio-Temporal Data Mining: Concepts and Challenges: Issues, Task and Process

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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About the Author:

A.N.M. Bazlur Rashid, B.Sc. Engg: Computer Science & Engineering at RUET & M.Sc. Engg: ICT at BUET, Bangladesh. OCP DBA. Assistant Professor (Computer) at Bangladesh University of Textiles, Dhaka, Bangladesh. Field of study: query processing, query optimization, materialized view, database and information system, data warehousing and data mining.

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Book Description Book Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | Issues, Task and Process | 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. | Format: Paperback | Language/Sprache: english | 144 pp. Bookseller Inventory # K9783659263828

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Book Description LAP Lambert Academic Publishing Okt 2012, 2012. Taschenbuch. Book Condition: Neu. Neuware - 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. 144 pp. Englisch. Bookseller Inventory # 9783659263828

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Book Description LAP Lambert Academic Publishing Okt 2012, 2012. Taschenbuch. Book Condition: Neu. Neuware - 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. 144 pp. Englisch. Bookseller Inventory # 9783659263828

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Book Description LAP Lambert Academic Publishing Okt 2012, 2012. Taschenbuch. Book Condition: Neu. This item is printed on demand - Print on Demand Neuware - 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. 144 pp. Englisch. Bookseller Inventory # 9783659263828

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Book Description LAP Lambert Academic Publishing, 2012. Paperback. Book Condition: New. Language: English . Brand New Book. 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. Bookseller Inventory # KNV9783659263828

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