scholarly journals Real-time spatio-temporal data mining with the “streamonas” data stream management system

Data Mining X ◽  
2009 ◽  
Author(s):  
P. A. Michael ◽  
D. Stott Parker
Keyword(s):  
Data Mining ◽  
Real Time ◽  
Management System ◽  
Data Stream ◽  
Temporal Data Mining ◽  
Temporal Data ◽  
Data Stream Management ◽  
Stream Management ◽  
Data Stream Management System ◽  
Spatio Temporal

Continuously Moving Objects Framework to Monitor Result Changes of Spatio Temporal Queries using Data Stream Management System

2013 ◽  
Vol 8 (2) ◽  
pp. 796-801
Author(s):  
Brijesh Panday ◽  
Vinod Kumar Yadav ◽  
Shreya Paul
Keyword(s):  
Management System ◽  
Data Stream ◽  
Moving Objects ◽  
Moving Object ◽  
Data Stream Management ◽  
Stream Management ◽  
Aggregate Function ◽  
Safe Limit ◽  
Data Stream Management System ◽  
Spatio Temporal

In this paper the concept of safe limit in the framework for continuously moving objects to monitor result changes of spatio temporal queries has been proposed. In this framework the movement of the moving object is monitored with the help of user defined aggregate function over spatio temporal reference in data stream management system. The expected movement of the moving object is plotted on the graph and the spatio temporal queries are answered on the basis of that, until and unless the difference between the expected movement and actual movement is more than the safe limit. This makes the framework more efficient than the previously given framework. The safe limit can be any range with respect to space and time of a moving object which varies according to different parameters such as size of the object, velocity with which it is moving and etc.

scholarly journals Continuously Moving Objects Framework to Monitor Result Changes of Spatio Temporal Queries using Data Stream Management System

2013 ◽  
Vol 7 (3) ◽  
pp. 677-682
Author(s):  
Brijesh Panday ◽  
Vinod Kumar Yadav ◽  
Shreya Paul
Keyword(s):  
Management System ◽  
Data Stream ◽  
Moving Objects ◽  
Moving Object ◽  
Data Stream Management ◽  
Stream Management ◽  
Aggregate Function ◽  
Safe Limit ◽  
Data Stream Management System ◽  
Spatio Temporal

In this paper the concept of safe limit in the framework for continuously moving objects to monitor result changes of spatio temporal queries has been proposed. In this framework the movement of the moving object is monitored with the help of user defined aggregate function over spatio temporal reference in data stream management system. The expected movement of the moving object is plotted on the graph and the spatio temporal queries are answered on the basis of that, until and unless the difference between the expected movement and actual movement is more than the safe limit. This makes the framework more efficient than the previously given framework. The safe limit can be any range with respect to space and time of a moving object which varies according to different parameters such as size of the object, velocity with which it is moving and etc.

STREAM: The Stanford Data Stream Management System

2016 ◽  
pp. 317-336 ◽  
Author(s):  
Arvind Arasu ◽  
Brian Babcock ◽  
Shivnath Babu ◽  
John Cieslewicz ◽  
Mayur Datar ◽  
...  
Keyword(s):  
Management System ◽  
Data Stream ◽  
Data Stream Management ◽  
Stream Management ◽  
Data Stream Management System
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