scholarly journals Model-based exception mining for object-relational data

2020 ◽  
Vol 34 (3) ◽  
pp. 681-722 ◽  
Author(s):  
Fatemeh Riahi ◽  
Oliver Schulte
Keyword(s):  
Relational Data ◽  
Model Based ◽  
Object Relational

Querying a Polynomial Object-Relational Constraint Database in Model-Based Diagnosis

2005 ◽  
pp. 848-857 ◽  
Author(s):  
M. T. Gómez-López ◽  
R. M. Gasca ◽  
C. Del Valle ◽  
F. T. de la Rosa
Keyword(s):  
Model Based ◽  
Object Relational ◽  
Constraint Database

Efficient Query Processing with Structural Join Indexing in an Object Relational Data Warehousing Environment

2011 ◽  
pp. 243-256
Author(s):  
Vivekanand Gopalkrishnan ◽  
Qing Li ◽  
Kamalakar Karlapalem
Keyword(s):  
Query Processing ◽  
Data Warehousing ◽  
Cost Model ◽  
Hill Climbing ◽  
Relational Data ◽  
Structural Join ◽  
Object Relational ◽  
Hybrid Data ◽  
Efficient Query Processing ◽  
Query Semantics

In an Object Relational Data Warehousing (ORDW) environment, the semantics of data and queries can be explicitly captured, represented, and utilized based on is-a and class composition hierarchies, thereby resulting in more efficient OLAP query processing. In this chapter, we show the efficacy in building semantic-rich hybrid data indexes incorporating Structural Join Index Hierarchy (SJIH) on the ORDW views. Given a set of queries, we use a hill-climbing heuristic algorithm to select (near) optimal SJIHs, thereby embedding query semantics into the indexing framework. Finally, by a cost model, we analyze the effectiveness of our approach vis-a-vis the pointer chasing approach.

scholarly journals Comparison of object-relational data mapping technology in Symfony 3 framework

2018 ◽  
Vol 8 ◽  
pp. 235-240
Author(s):  
Karol Sawłuk ◽  
Marek Miłosz
Keyword(s):  
Comparative Analysis ◽  
Object Relation ◽  
Efficient Algorithms ◽  
Relational Data ◽  
Data Mapping ◽  
Memory Usage ◽  
Object Relational ◽  
Mapping Technology ◽  
Execution Speed ◽  
Database Operations

The article presents the results of a comparative analysis of object-relation mapping technologies in the framework Symfony 3: Doctrine and Propel. The analysis was performed in terms of script execution speed and memory usage during database operations. The analysis allowed to identify the technology with faster and more efficient algorithms. Doctrine is up to three times faster than Propel.

scholarly journals The Application of Management System ORDBMS Object Relational Data Base in System by Using ORACCL

2005 ◽  
Vol 27 (80) ◽  
pp. 23-38
Author(s):  
Isam M. Mohammed ◽  
Asma Y. Hamo ◽  
Alaa F. saeed
Keyword(s):  
Data Base ◽  
Management System ◽  
Relational Data ◽  
Object Relational ◽  
Relational Data Base
Sign in / Sign up

Export Citation Format

Share Document