The data will be dimensionalised by three different concepts like, CASE: Exploiting the programming CASE construct; SPJ: Based on standard relational algebra operators (SPJ queries); PIVOT: Using the PIVOT operator, which is offered by some DBMSs. Existing SQL aggregations have limitations to ...
3. Typical SUM Query over NPDM While the sum operation was unchanged in the query rewrite step of Figure 3, other aggregation operators need slight modifications. In practice simple additive aggregation primitives are computed in each node, from which the final aggregation function is derived. The...
based on a distance measure and builds transitive clusters in [19]. In [7] a Galhardas et. al. propose a framework for data cleaning as a SQL extension and macro-operators to support among other data clean- ing issues duplicate elimination by similarity-based clustering. The similarity relat...
We propose three fundamentalmethods to evaluate horizontal aggregations:飪 CASE: Exploiting the programming CASE construct;飪 SPJ: Based on standard relational algebra operators (SPJqueries);飪 PIVOT: Using the PIVOT operator which is offered by someDBMSs.Experiments with large tables compare the ...
In addition the Ordered Weighted Aggregation (OWA) operators are adapted for aggregating the distance functions of these features. The system supports nearest neighbor queries and various types of fuzzy queries; feature-based, image-based and color-based queries. The experimental results show that our...
, extension to SQL standard aggregate functions to compute horizontal aggregations We propose two fundamental methods to evaluate horizontal aggregations: CASE: Exploiting the programming CASE construct; SPJ: Based on standard relational algebra operators (SPJ queries); which is offered by some DBMSs....