Top-<italic>k</italic> Dominating Queries on Incomplete Data
نویسندگان
چکیده
منابع مشابه
A Review on Top-K Dominating Queries on Incomplete Data
Data mining is a powerful way to discover knowledge within the large amount of the data. Incomplete data is general, finding out and querying these type of data is important recently. The top-k dominating (TKD) queries return k objects that overrides maximum number of objects in a given dataset. It merges the advantages of skyline and top-k queries. This plays an important role in many decision...
متن کاملDynamic Top-$k$ Dominating Queries
Let S be a dataset of n 2-dimensional points. The top-k dominating query aims to report the k points that dominate the most points in S . A point p dominates a point q iff all coordinates of p are smaller than or equal to those of q and at least one of them is strictly smaller. The top-k dominating query combines the dominance concept of maxima queries with the ranking function of top-k queries...
متن کاملTop-k Dominating Queries: a Survey
Top-k dominating queries combine the advantages of top-k queries and skyline queries, and eliminate their disadvantages. They return k objects with the highest domination score, which is defined as the number of dominated objects. As a top-k query, the user can bound the number of returned results through the parameter k, and like a skyline query a user-selected scoring function is not required...
متن کاملMetric-Based Top-k Dominating Queries
Top-k dominating queries combine the natural idea of selecting the k best items with a comprehensive “goodness” criterion based on dominance. A point p1 dominates p2 if p1 is as good as p2 in all attributes and is strictly better in at least one. Existing works address the problem in settings where data objects are multidimensional points. However, there are domains where we only have access to...
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Recommender systems have been widely used in e-commerce applications. They are a subclass of information filtering system, used to either predict whether a user will prefer an item (prediction problem) or identify a set of k items that will be user-interest (Top-k recommendation problem). Demanding sufficient ratings to make robust predictions and suggesting qualified recommendations are two si...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2016
ISSN: 1041-4347
DOI: 10.1109/tkde.2015.2460742