scholarly journals On Large Volume Preserving Stable CMC Surfaces in Initial Data Sets

2012 ◽  
Vol 91 (1) ◽  
pp. 81-102 ◽  
Author(s):  
Michael Eichmair ◽  
Jan Metzger
Keyword(s):  
Initial Data ◽  
Large Volume ◽  
Data Sets ◽  
Cmc Surfaces ◽  
Volume Preserving

Big Data

2015 ◽  
pp. 326-344
Author(s):  
Piyush Kumar Shukla ◽  
Madhuvan Dixit
Keyword(s):  
Big Data ◽  
Large Volume ◽  
Knowledge Engineering ◽  
Complex Structure ◽  
Security And Privacy ◽  
Data Sets ◽  
User Interest ◽  
Image Information ◽  
Aggregation Of Information ◽  
Technical Area

In this chapter, Big Data provide large-volume, complex structure, heterogeneous and irregular growing data sets include multiple and autonomous different resources. In this chapter, With the growing improvement of networking sites, image information storing capacity become big issue too, Big Data concept are most growing expanding in all technical area and knowledge engineering domains, including physical, medical and paramedical sciences. Here a data-driven method consist demand-driven aggregation of information and knowledge mining and analysis, user interest prototyping, security and privacy aspects has been presented.

scholarly journals Initial data sets for the Schwarzschild spacetime

2007 ◽  
Vol 75 (2) ◽  
Author(s):  
Alfonso García-Parrado Gómez-Lobo ◽  
Juan A. Valiente Kroon
Keyword(s):  
Initial Data ◽  
Data Sets ◽  
Schwarzschild Spacetime

Generation of Business Event Data Sets for Testing RFID Information Services

2015 ◽  
Vol 25 (04) ◽  
pp. 757-780
Author(s):  
Gihong Kim ◽  
Bonghee Hong
Keyword(s):  
Life Cycle ◽  
Test Data ◽  
Large Volume ◽  
Information Services ◽  
Data Sets ◽  
Event Data ◽  
Data Set ◽  
Generation Algorithm ◽  
New Model ◽  
Business Events

The testing of RFID information services requires a test data set of business events comprising object, aggregation, quantity and transaction events. To generate business events, we need to address the performance issues in creating a large volume of event data. This paper proposes a new model for the tag life cycle and a fast generation algorithm for this model. We present the results of experiments with the generation algorithm, showing that it outperforms previous methods.

Gluing Initial Data Sets for General Relativity

2004 ◽  
Vol 93 (8) ◽  
Author(s):  
Piotr T. Chruściel ◽  
James Isenberg ◽  
Daniel Pollack
Keyword(s):  
General Relativity ◽  
Initial Data ◽  
Data Sets

scholarly journals Killing spinor initial data sets

2008 ◽  
Vol 58 (9) ◽  
pp. 1186-1202 ◽  
Author(s):  
Alfonso García-Parrado Gómez-Lobo ◽  
Juan A. Valiente Kroon
Keyword(s):  
Initial Data ◽  
Killing Spinor ◽  
Data Sets

scholarly journals Initial data sets of minimal energy

1988 ◽  
Vol 117 (4) ◽  
pp. 625-638 ◽  
Author(s):  
Oscar Reula
Keyword(s):  
Initial Data ◽  
Data Sets ◽  
Minimal Energy
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