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MapReduce Algorithm for Variants of Skyline Queries: Skyband and Dominating Queries
The skyline query and its variant queries are useful functions in the early stages of a knowledge-discovery processes. The skyline query and its variant queries select a set of important objects, which are better than other common objects in the dataset.
Md. Anisuzzaman Siddique +3 more
doaj +1 more source
Location Selection Query in Google Maps using Voronoi-based Spatial Skyline (VS2) Algorithm
Google Maps is one of the popular location selection systems. One of the popular features of Google Maps is nearby search. For example, someone who wants to find the closest restaurants to his location can use the nearby search feature. This feature only
Annisa Annisa, Leni Angraeni
doaj +1 more source
Heaviest Induced Ancestors and Longest Common Substrings [PDF]
Suppose we have two trees on the same set of leaves, in which nodes are weighted such that children are heavier than their parents. We say a node from the first tree and a node from the second tree are induced together if they have a common leaf ...
Gagie, Travis +2 more
core
Caching Dynamic Skyline Queries [PDF]
Given a query tuple q, the dynamic skyline query retrieves the tuples that are not dynamically dominated by any other in the data set with respect to q. A tuple dynamically dominates another, w.r.t. q, if it has closer to q's values in all attributes, and has strictly closer to q's value in at least one.
Dimitris Sacharidis +2 more
openaire +1 more source
Objective We evaluated the role of 25‐hydroxyvitamin D (25[OH]D), prednisone, and other risk factors for bone mineral density (BMD) loss and osteoporosis in systemic lupus erythematosus (SLE). Methods We calculated the association between 25(OH)D levels and other potential risk factors and BMD measures (spine T scores) and osteoporosis (defined as a T ...
Nima Madanchi +4 more
wiley +1 more source
The analyzing and processing of multisource real-time transportation data stream lay a foundation for the smart transportation's sensibility, interconnection, integration, and real-time decision making.
Wang Hanning +4 more
doaj +1 more source
Finding Top-k Dominance on Incomplete Big Data Using Map-Reduce Framework
Incomplete data is one major kind of multi-dimensional dataset that has random-distributed missing nodes in its dimensions. It is very difficult to retrieve information from this type of dataset when it becomes huge. Finding top-k dominant values in this
Ezatpoor, Payam
core +1 more source
Skyline and ranking queries are two of the most used tools to manage large data sets. The former is based on non-dominance, while the latter on a scoring function. Despite their effectiveness, they have some drawbacks like the result size or the need for a utility function that must be taken into account.
openaire +2 more sources
Objective We examined whether 18 months of strength training in individuals with knee varus alignment and medial tibiofemoral osteoarthritis (OA) reduced knee joint loads during walking compared to an attention control group. Methods This study was a secondary analysis of a randomized clinical trial that compared the effects of strength training to a ...
Stephen P. Messier +12 more
wiley +1 more source
Skyline query under multidimensional incomplete data based on classification tree
A method for skyline query of multidimensional incomplete data based on a classification tree has been proposed to address the problem of a large amount of useless data in existing skyline queries with multidimensional incomplete data, which leads to low
Dengke Yuan +3 more
doaj +1 more source

