The k-Means clustering algorithm partition a dataset into meaningful patterns. Intrusion
Detection System detects malicious attacks which generally include theft information. It can …

Clustering is the popular unsupervised learning technique of data mining which divide the
data into groups having similar objects and used in various application areas. k-Means is …

Examining concepts that change over time has been an active area of research within data
mining. This paper presents a new method that functions in contexts where concept drift is …

Examining concepts that change over time has been an active area of research within data
mining. This paper presents a new method that functions in contexts where concept drift is …

Port scan correlation aims to differentiate between benign and malicious scans. In this paper
we will examine a new method of profiling port scan activity in an attempt to link different …

In order to automatically obtain hierarchical knowledge representation from a certain data,
an unsupervised learning method has been developed that overcomes two problems of the …

In this poster, we present a low-fatigue VR travel framework which provides smooth
transition between three types of travel metaphors, walking, Segway and surfboard, with one …

In order to automatically obtain hierarchical knowledge representation from a certain data,
an unsupervised learning method has been developed that overcomes two problems of the …

This thesis examines the lives of the convict workers who constituted the primary work force
in the Campbell Town district in Van Diemen's Land during the assignment period but …