ABSTRACT. Top- queries are desired aggregation operations on data sets. Ex- amples of queries on network data include the top 100 source AS's,.
If all records can be processed, the top-k items can be obtained by counting the frequency of each item. Even when the full dataset is observed, however, ...
If all records can be processed, the top-k items can be obtained by counting the frequency of each item. Even when the full dataset is observed, however, ...
If all records can be processed, the top-k items can be obtained by counting the frequency of each item. Even when the full dataset is observed, however, ...
—No Random Access: In this category, top-k processing techniques assume the underlying sources provide only sorted access to data objects based on their scores.
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What is top K query processing?
What is top K top P sampling?
We demonstrate the power and flexibility of our sampling-based approach by developing a series of topk query planning algorithms with linear programming ...
If all records can be processed, the top-k items can be obtained by counting the frequency of each item. Even when the full dataset is observed, however, ...
Top-k query processing is an important building block for ranked retrieval, with applications ranging from text and data integration to distributed aggregation ...
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The definition of top-k queries requires a system able to "rank" objects. (the 1st best result, the 2nd one, …) Ranking = ordering the DB objects based on their ...
Missing: samples. | Show results with:samples.
Consider Example 1. Two interesting top–k queries are to report: • The top–k speeding cars in the last hour. • A ranking over the models of the top–k speeding ...