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K neighbor search algorithm has a very wide application in complex surface of a large amount of data, aiming at the broad and irregular nature of mass data, this paper will use QR-tree index structure, in accordance with full octree encoding method to code each node, in accordance with the location relationship to establish grid, and nodes intersecting with horizontal and vertical lines are also involved...
The Network Centric Warfare (NCW) model is currently attracting attention in modern warfare research. In this model, data processing issues, such as efficiently determining enemies of high threat, are critical for optimizing war tactics. In this paper, by adopting the concept of skyline queries which have been extensively studied in database research, we address the problem of searching highly threatening...
Data collections often have inconsistencies that arise due to a variety of reasons, and it is desirable to be able to identify and resolve them efficiently. Similarity queries are commonly used in data cleaning for matching similar data. In this work we concentrate on the following problem of approximate string matching based on edit distance: from a collection of strings, how to find those strings...
A continuous nearest neighbor (CNN) search, which retrieves the nearest neighbors corresponding to every point in a given query line segment, is important for location-based services such as vehicular navigation and tourist guides. It is infeasible to answer a CNN search by issuing a traditional nearest neighbor query at every point of the line segment due to the large number of queries generated...
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