Reverse Nearest Neighbor Search in Metric Spaces with Adjustable Distance Functions

碩士 === 國立清華大學 === 資訊工程學系 === 95 === In recent years, the reverse k-nearest neighbor (RkNN) problem in metric spaces has attracted reasonable attention because it can be applied to business location planning, profile-based marketing, clustering and outlier detection. However, previous works on the Rk...

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Bibliographic Details
Main Authors: Yu-Cheng Ling, 凌鈺城
Other Authors: Arbee L.P. Chen
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/21483134832904572115