Temporal Data Warehouses

2008 ◽  
pp. 185-249
Author(s):  
Elzbieta Malinowski ◽  
Esteban Zimányi
Keyword(s):  
Temporal Data ◽  
Data Warehouses

Difference Operators in Simulation Data Warehouses

2017 ◽  
Vol 12 (2) ◽  
pp. 347-354 ◽  
Author(s):  
Jing Zhao ◽  
◽  
Yoshiharu Ishikawa ◽  
Yukiko Wakita ◽  
Kento Sugiura
Keyword(s):  
Difference Operator ◽  
Difference Operators ◽  
Observation Data ◽  
Temporal Data ◽  
Data Warehouses ◽  
Simulation Data ◽  
Tsunami Disaster ◽  
Spatio Temporal ◽  
The Difference ◽  
Mass Evacuation

In analyzing observation data and simulation results, there are frequent demands for comparing more than one data on the same subject to detect any differences between them. For example, comparison of observation data for an object in a certain spatial domain at different times or comparison of spatial simulation data with different parameters. Therefore, this paper proposes the difference operator in spatio-temporal data warehouses, which store temporal and spatial observation data and simulation data. The requirements for the difference operator are summarized, and the approaches to implement them are presented. In addition, the proposed approach is applied to the mass evacuation of simulation data in a tsunami disaster, and its effectiveness is verified. Extensions of the difference operator and their applications are also discussed.

Designing Spatial and Temporal Data Warehouses

2008 ◽  
pp. 315-352
Author(s):  
Elzbieta Malinowski ◽  
Esteban Zimányi
Keyword(s):  
Temporal Data ◽  
Data Warehouses

scholarly journals Indexing spatio-temporal data warehouses

2003 ◽  
Author(s):  
D. Papadias ◽  
Yufei Tao ◽  
P. Kanis ◽  
Jun Zhang
Keyword(s):  
Temporal Data ◽  
Data Warehouses ◽  
Spatio Temporal

Exploiting Temporal Correlation in Temporal Data Warehouses

2005 ◽  
pp. 662-674 ◽  
Author(s):  
Ying Feng ◽  
Hua-Gang Li ◽  
Divyakant Agrawal ◽  
Amr El Abbadi
Keyword(s):  
Temporal Correlation ◽  
Temporal Data ◽  
Data Warehouses

Spatio-temporal data warehouses using an adaptive cell-based approach

2006 ◽  
Vol 59 (1) ◽  
pp. 189-207 ◽  
Author(s):  
Wonik Choi ◽  
Dongseop Kwon ◽  
Sangjun Lee
Keyword(s):  
Temporal Data ◽  
Data Warehouses ◽  
Spatio Temporal

Temporal Data Warehousing

2011 ◽  
pp. 1-18 ◽  
Author(s):  
Matteo Golfarelli ◽  
Stefano Rizzi
Keyword(s):  
Data Warehouse ◽  
Data Warehousing ◽  
Temporal Databases ◽  
Temporal Data ◽  
Data Warehouses ◽  
Research Issues ◽  
Data Schema ◽  
Warehousing Systems ◽  
Changes Over Time ◽  
Over Time

Data warehouses are information repositories specialized in supporting decision making. Since the decisional process typically requires an analysis of historical trends, time and its management acquire a huge importance. In this paper we consider the variety of issues, often grouped under term temporal data warehousing, implied by the need for accurately describing how information changes over time in data warehousing systems. We recognize that, with reference to a three-levels architecture, these issues can be classified into some topics, namely: handling data/schema changes in the data warehouse, handling data/schema changes in the data mart, querying temporal data, and designing temporal data warehouses. After introducing the main concepts and terminology of temporal databases, we separately survey these topics. Finally, we discuss the open research issues also in connection with their implementation on commercial tools.

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