Multi-dimensional top-k dominating queries
The top-k dominating query returns k data objects which dominate the highest number of objects in a dataset. This query is an important tool for decision support since it provides data analysts an intuitive way for finding significant objects.
Top-k dominating queries include a counting component, i.e., multi-dimensional aggregation; thus, we review related work on spatial aggregation processing. In ...
Sep 30, 2008 · The top-k dominating query returns k data objects which dominate the highest number of objects in a dataset. This query is an important tool ...
Top-k dominating queries include a counting component which is a case of multi-dimensional aggregation; in this section, we review related work on spatial ...
Top-k dominating queries include a counting component which is a case of multi-dimensional aggregation; in this section, we review related work on spatial ...
Aug 17, 2021 · Top-k dominating (TKD) query is one of the methods to find the interesting objects by returning the k objects that dominate other objects in ...
May 13, 2013 · The top-k dominating query aims to report the k points that dominate the most points in \mathcal{S}. A point p dominates a point q iff all ...
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Top-k dominating query returns k records that dominate the maximum number of records from a d-dimensional dataset S. It uses a ranking mechanism to determine ...
Efficient Processing of Top-k Dominating Queries on Multi ...
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The top-k dominating query returns k data objects which dominate the highest number of objects in a dataset. This query is an important tool for decision ...
Based on the consideration of the above problems, this paper proposes a TKD query algorithm for incremental update of incomplete data based on MapReduce.