A mechanism for identifying bandings in large" zero-one" N-dimensional data sets, using a
sampling technique, is presented. The challenge of identifying bandings in data is the large …

A zero-one high-dimensional data set is said to be banded if all the dimensions can be
reorganised such that the “non zero” entries are arranged along the leading diagonal across …

The analysis of relation between student performance and other variables in education
setting is often useful in identifying influential factors on performance. Consequently, the …

This paper describes an approach to temporal pattern mining using the concept of user
defined temporal prototypes to define the nature of the trends of interests. The temporal …

In this paper, we proposed a trend cluster analysis technique for identifying and analysing
time series wave data. With this application, it can assist management to identify changes …

The objective of the research presented in this thesis is to investigate and evaluate a series
of techniques directed at identifying banded patterns in zero-one data, starting from 2D data …

Trend cluster analysis using Self Organization Maps (SOM) is an application for clustering
time series data. The application is able to cluster and display the time series data into trend …

US consumers eat a lot of beef. The nation's beef cattle production industry is a multi-
faceted, complex supply chain which makes it an area rich for discussion about information …

A four‐stage social network trend mining framework, the Identification, Grouping, Clustering
and Visualization framework, is described. The framework extracts trends from social …

This thesis describes research work within the theme of trend mining as applied to social
network data. Trend mining is a type of temporal data mining that provides observation into …