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Given that the relational characteristics can provide much useful information during the recommendation process, we have designed an easily realizable recommendation system framework based on relational data by integrating the relational data in the domain ontology and applying a genetic algorithm to process the recommendation.
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Im et al. proposed a version framework for an RDF data model based on relational databases.
The performance analysis shows that the proposed algorithm outperforms join algorithms for sensor data that are based on relational databases.
Some related works have focused on anomaly detection in data with spatial relationships [5], while others propose methods to define outliers based on relational class attributes [6].
We find that KT activities are based on relational rather than commercial activities.
Several persistence solutions based on relational and NoSQL databases have been proposed to achieve scalability.
Techniques proposed in data warehousing and online analytical processing, such as precomputed multidimensional cubes, dramatically improve the response time of analytic queries based on relational databases.
ChloroSSRdb is based on relational database management system and was developed using SQL server 2008.
To date, all systems in this category are based on the relational data model and existing relational DBMS, and all of them offer some OO extensions.
Previous techniques proposed in data warehouses and OLAP systems are mainly focusing on relational data structure and relational databases.
Based on these data, the Grey relational coefficients are calculated to represent the correlation between the (best) ideal and the actual normalised experimental data.
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