scholarly journals Dynamic View Selection for OLAP

2006 ◽  
pp. 33-44 ◽  
Author(s):  
Michael Lawrence ◽  
Andrew Rau-Chaplin
Keyword(s):  
View Selection ◽  
Dynamic View ◽  
Selection For

scholarly journals Dynamic View Selection for OLAP

2008 ◽  
Vol 4 (1) ◽  
pp. 47-61 ◽  
Author(s):  
Michael Lawrence ◽  
Andrew Rau-Chaplin
Keyword(s):  
View Selection ◽  
Dynamic View ◽  
Selection For

Dynamic view selection for multi-camera action recognition

2015 ◽  
Vol 27 (1) ◽  
pp. 53-63 ◽  
Author(s):  
Scott Spurlock ◽  
Richard Souvenir
Keyword(s):  
Action Recognition ◽  
View Selection ◽  
Dynamic View ◽  
Selection For

Approaches and issues in view selection for materialising in data warehouse

2016 ◽  
Vol 21 (1) ◽  
pp. 17 ◽  
Author(s):  
Rajib Goswami ◽  
Dhruba Kr Bhattacharyya ◽  
Malayananda Dutta ◽  
Jugal K. Kalita
Keyword(s):  
Data Warehouse ◽  
View Selection ◽  
Selection For

Field of view selection for optimal airborne imaging sensor performance

2014 ◽  
Author(s):  
Tristan M. Goss ◽  
P. Werner Barnard ◽  
Haldun Fildis ◽  
Mustafa Erbudak ◽  
Tolga Senger ◽  
...  
Keyword(s):  
Field Of View ◽  
View Selection ◽  
Sensor Performance ◽  
Selection For ◽  
Airborne Imaging ◽  
Imaging Sensor

View Selection and Materialization

2010 ◽  
pp. 114-130
Author(s):  
Zohra Bellahsene
Keyword(s):  
Data Warehousing ◽  
Database Systems ◽  
Selection Method ◽  
Materialized Views ◽  
Storage Space ◽  
View Selection ◽  
Dynamic View ◽  
Processing Cost ◽  
Speed Up ◽  
Warehousing Systems

There are many motivations for investigating the view selection problem. At first, materialized views are increasingly being supported by commercial database systems and are used to speed up query response time. Therefore, the problem of choosing an appropriate set of views to materialize in the database is crucial in order to improve query processing cost. Another application of the view selection issue is selecting views to materialize in data warehousing systems to answer decision support queries. The problem addressed in this paper is similar to that of deciding which views to materialize in data warehousing. However, most existing view selection methods are static. Moreover, none of these methods have considered the problem of de-materializing the already materialized views. Yet it is a very important issue since the size of storage space is usually restricted. This chapter deals with the problem of dynamic view selection and with the pending issue of removing materialized views in order to replace less beneficial views with more beneficial ones. We propose a view selection method for deciding which views to materialize according to statistic metadata. More precisely, we have designed and implemented our view selection method, including a polynomial algorithm, to decide which views to materialize.

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