… ” data points sampled independently from a range to provide statistical properties of the data
… [30] used k nearest neighbor search for detecting significant differences of treatment among …

… execution of the range query within the ML-Index, we adapt the Data-Based Method for range
… from the given range q. For the computed furthest and closest point, the algorithm issues a …

… However, there are many redundant distance computations among the process of DBSCAN
clustering, due to brute force Range-Query used to retrieve neighbors for each point in …

… into multiple sections (ie, ranges in the 1-dimensional case … of finding the nearest neighbor
for a given query q to the prob… the nearest neighbor to the problem of point-range testing (ie,…

… clients (including herself) to issue queries (such as range and k nearest neighbor queries).
A trusted coordinator collects queries from different clients and answers them by interacting …

… searchable encryption supporting range queries and nearest neighbor queries. In a generic
… pattern of queries. However, these generic attacks assume the distribution of queries is uni…

… We study the worst-case performance of recent graph-based approximate nearest neighbor
… nearest neighbor search query with constant approximation ratio and poly-logarithmic query …

… Accordingly, in this paper, the k-nearest neighbor (KNN) and range query with its space
and point of interest (POI) information is accurately computed using a recent evolutionary …

… in the scenarios where the search range of the queries rarely changes, but inappropriate
to CkQST, where frequent update of the search range of the queries results in high costs. …

… At the time, the most common queries considered in the literature were different variants
of nearest neighbor queries and range searching queries. Considering the nearest neighbor …