… ” 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 …

… We propose the point-DNN query and extend it to the range-DNN query. … for every point in
a query range ( [8]–[10], etc.). We extend the point-DNN query to the range-DNN query, which …

… 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 …

… 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 …

… Workload We deploy 18 real datasets used by existing works which cover a wide range of
applications including image, audio, video and text. We also use two synthetic datasets. Table …

… Instead, we show that we can directly adapt the query algorithm for answering semi-algebraic
range queries [3] (essentially the decision algorithm in the approach sketched above) to …

… In the process of continuous monitoring of nearest-neighbor queries, the monitoring range
is calculated by traversing the KNN result set, which costs little time. The time consumption of …

… 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 …