QA-kNN: Indoor Localization Based on Quartile Analysis and the kNN Classifier for Wireless Networks

Improved Evidence Theoretic kNN Classifier based on Theory of Evidence

KNN Based Power Efficiency in Wireless Sensor Networks

A Wireless Sensor Network (WSN) is a network composed of a large number of nodes that sense, collect, transmit, and deliver data to where it is needed. It involves set of isolated urban areas covered by sensor nodes (SNs) monitoring environmental parameters. Mobile sinks are mounted upon urban vehicles with fixed trajectories (e.g., buses) providing the ideal infrastructure to effectively retri...

Continuous Monitoring of kNN Queries in Wireless Sensor Networks

Wireless sensor networks have been widely used for civilian and military applications, such as environmental monitoring and vehicle tracking. In these applications, continuous query processing is often required and their efficient evaluation is a critical requirement to be met. Due to the limited power supply for sensor nodes, energy efficiency is a major performance measure in such query evalu...

Using KNN and SVM Based One-Class Classifier for Detecting Online Radicalization on Twitter

Twitter is the largest and most popular micro-blogging website on Internet. Due to low publication barrier, anonymity and wide penetration, Twitter has become an easy target or platform for extremists to disseminate their ideologies and opinions by posting hate and extremism promoting tweets. Millions of tweets are posted on Twitter everyday and it is practically impossible for Twitter moderato...

An effective refinement strategy for KNN text classifier

Due to the exponential growth of documents on the Internet and the emergent need to organize them, the automated categorization of documents into predefined labels has received an ever-increased attention in the recent years. A wide range of supervised learning algorithms has been introduced to deal with text classification. Among all these classifiers, K-Nearest Neighbors (KNN) is a widely use...