Computer Engineering Commons^™

Clustering Educational Digital Library Usage Data: Comparisons Of Latent Class Analysis And K-Means Algorithms, Beijie Xu

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

There are common pitfalls and neglected areas when using clustering approaches to solve educational problems. A clustering algorithm is often used without the choice being justified. Few comparisons between a selected algorithm and a competing algorithm are presented, and results are presented without validation. Lastly, few studies fully utilize data provided in an educational environment to evaluate their findings. In response to these problems, this thesis describes a rigorous study comparing two clustering algorithms in the context of an educational digital library service, called the Instructional Architect.

First, a detailed description of the chosen clustering algorithm, namely, latent class analysis …

Polygonal Spatial Clustering, Deepti Joshi

Department of Computer Science and Engineering: Dissertations, Theses, and Student Research

Clustering, the process of grouping together similar objects, is a fundamental task in data mining to help perform knowledge discovery in large datasets. With the growing number of sensor networks, geospatial satellites, global positioning devices, and human networks tremendous amounts of spatio-temporal data that measure the state of the planet Earth are being collected every day. This large amount of spatio-temporal data has increased the need for efficient spatial data mining techniques. Furthermore, most of the anthropogenic objects in space are represented using polygons, for example – counties, census tracts, and watersheds. Therefore, it is important to develop data mining …

Data Warehouse As A Backbone For Business Intelligence: Issues And Challenges, Mutaz M. Al-Debei

Dr. Mutaz M. Al-Debei

The aim of this research is to identify and classify the main issues and challenges facing different business organizations when implementing Data Warehouse (DW) technologies. This is highly significant given the theoretical and practical implications and importance of such technologies. It is also important to highlight these challenges given the scarcity of research in this domain despite its value. To determine DW issues and challenges, a qualitative research methodology was followed. A semi-structured interview protocol was used with 17 DW project managers and seniors’ members. The gathered data were analyzed by utilizing a bottom-up content analysis technique where content is …