期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：36
期号：4
DOI：10.14445/22312803/IJCTT-V36P132
出版社：Seventh Sense Research Group
摘要：Data mining has wide variety of real time application in many fields such as financial, telecommunication, biological, and among government agencies. So the query processing system is also an important thing to access and search the database. Once the KNN query service is outsourced, data confidentiality and query privacy become the important issues, because the data owner loses the control over the data. This type of queries are very useful in many applications namely decision making, data mining and pattern recognition. In this paper we studies a KNN based search which was worked on very efficiently. This method utilize a conventional datapartitioning index on the dataset, employ the stateoftheart database techniques including k nearest neighbor (KNN) retrieval and reverse KNN search technique using Clustering find the minimum value and calculate the average using kmeans algorithm. The empirical study of this paper is also providing the efficiency of the KNN based query processing on spatial databases.
关键词：Data mining; K-NearestNeighborhood; Query processing; Range Query; Spatial Data base.
