Abstract The k-Nearest Neighbors (kNN) method, established in 1951, has since evolved
into a pivotal tool in data mining, recommendation systems, and Internet of Things (IoT) …

k nearest neighbours (kNN) queries are fundamental in many applications, ranging from
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …

Peer-to-peer (P2P) technology, or peer computing, is a paradigm that is viewed as a
potential technology for redesigning distributed architectures and, consequently, distributed …

This is an introduction to multicast routing, which is the study of methods for routing from one
source to many destinations, or from many sources to many destinations. Multicast is …

In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query
processing in high dimensional data. Our approach is based on Locality Sensitive Hashing …

Similarity queries, including range queries and k nearest neighbor (k NN) queries, in metric
spaces have applications in many areas such as multimedia retrieval, computational biology …

Abstract We consider K-Nearest Neighbor search for high dimensional data in large-scale
structured Peer-to-Peer networks. We present an efficient mapping scheme based on p …

Networking research often relies on simulation in order to test and evaluate new ideas. An
important requirement of this process is that results must be reproducible so that other …

P2P-based multidimensional index (MI) is a hotspot which absorbs many researchers to
dedicate them into. However, no summarization or review on this technology has been …

Metric space is a universal and versatile model of similarity that can be applied in various
areas of non-text information retrieval. However, a general, efficient and scalable solution for …