SCSA: Evaluating skyline queries in incomplete data
نویسندگان
چکیده
منابع مشابه
Skyline Queries over Incomplete Data - Cost Models
Skyline queries are a well-known technique for explorative retrieval, multi-objective optimization problems, and personalization tasks in databases. They are widely acclaimed for their intuitive query formulation mechanisms. However, when operating on incomplete datasets, skyline query processing is severely hampered and often has to resort to error-prone heuristics. Unfortunately, incomplete d...
متن کاملSkyline Queries over Incomplete Multidimensional Database
In recent years, there has been much focus on skyline queries that incorporate and provide more flexible query operators that return data items which are dominating other data items in all attributes (dimensions). Several techniques for skyline have been proposed in the literature. Most of the existing skyline techniques aimed to find the skyline query results by supposing that the values of di...
متن کاملEfficiently Evaluating Skyline Queries on RDF Databases
Skyline queries are a class of preference queries that compute the pareto-optimal tuples from a set of tuples and are valuable for multi-criteria decision making scenarios. While this problem has received significant attention in the context of single relational table, skyline queries over joins of multiple tables that are typical of storage models for RDF data has received much less attention....
متن کاملFinding Superior Skyline Points from Incomplete Data
The skyline query has proven to be an important tool in multi-criteria decision making and search space pruning. A skyline query returns the subset of points from a multidimensional dataset that are not dominated by any other point. Due to its wide applications, skyline query and its variants have been extensively studied in the past. However, skyline computation for incomplete domain, where po...
متن کاملSkyline Queries
DEFINITION: Given a set of points p1, p2, ......., pn, the skyline query returns a set of points P, called as the skyline points, such that any point pi ∈ P is not dominated by any other point in the dataset. A point p1 dominates another point p2, if p1 is not worse than p2 in all dimensions and p1 is better than p2 in at least one dimension. In other words, a point p1 dominates another point p...
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ژورنال
عنوان ژورنال: Applied Intelligence
سال: 2018
ISSN: 0924-669X,1573-7497
DOI: 10.1007/s10489-018-1356-2