Loading...
Please wait, while we are loading the content...
João B. Rocha-Junior Efficient Processing of Preference Queries in Distributed and Spatial Databases (2012)
| Content Provider | CiteSeerX |
|---|---|
| Abstract | Traditional SQL queries are recognized for producing an exact and complete result set. However, foranincreasingnumberofapplicationsthatmanagemassiveamounts of data, the largeresult set produced by traditional SQL queries has become difficult to handle. Therefore, there is an increasing interest in queries that produce a more concise result set. Preference queries capture the wishes of the users to produce a result set containing only the most important objects. A naive way of processing a preference query is first evaluating all objects, and then selecting the best ones. This approach is prohibitively costly and does not scale for large datasets. In this thesis, we focus on efficient processing of preference queries in spatial and distributed databases. We propose novel techniques that improve the performance of preference queries avoiding evaluating all objects. The main contributions are in the efficient processing of the following types of preference queries: • Skyline queries in distributed systems. • Spatial preference queries. |
| File Format | |
| Publisher Date | 2012-01-01 |
| Access Restriction | Open |
| Subject Keyword | Distributed System Main Contribution Efficient Processing Naive Way Traditional Sql Query Skyline Query Rocha-junior Efficient Processing Following Type Concise Result Large Datasets Distributed Database Spatial Database Important Object Complete Result Set Spatial Preference Query Novel Technique Result Set Preference Query |
| Content Type | Text |
