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• W2088586484 abstract "In this paper, we present our continuous research on similarity search problems. Previously we proposed PanKNN[18]which is a novel technique that explores the meaning of K nearest neighbors from a new perspective, redefines the distances between data points and a given query point Q, and efficiently and effectively selects data points which are closest to Q. It can be applied in various data mining fields. In this paper, we present our approach to solving the similarity search problem in the presence of obstacles. We apply the concept of obstacle points and process the similarity search problems in a different way. This approach can assist to improve the performance of existing data analysis approaches." @default.
• W2088586484 created "2016-06-24" @default.
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• W2088586484 date "2010-10-01" @default.
• W2088586484 modified "2023-09-24" @default.
• W2088586484 title "An Attempt to Find Neighbors" @default.
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• W2088586484 doi "https://doi.org/10.1109/cyberc.2010.64" @default.
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