Browsing Computer Science Doctoral Work by Title
Now showing items 15-34 of 65
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Developing and Validating Active Learning Engagement Strategies to Improve Students' Understanding of Programming and Software Engineering Concepts
(North Dakota State University, 2020)Introductory computer programming course is one of the fundamental courses in computer science. Students enrolled in computer science courses at the college or university have been reported to lack motivation, and engagement ... -
Development and Validation of Feedback-Based Testing Tutor Tool to Support Software Testing Pedagogy
(North Dakota State University, 2020)Current testing education tools provide coverage deficiency feedback that either mimics industry code coverage tools or enumerates through the associated instructor tests that were absent from the student’s test suite. ... -
A Distributed Linear Programming Model in a Smart Grid
(North Dakota State University, 2013)Advances in computing and communication have resulted in large-scale distributed environments in recent years. They are capable of storing large volumes of data and, often, have multiple compute nodes. However, the inherent ... -
Domain Ontology Based Detection Approach to Identify Effect Types of Security Requirements upon Functional Requirements
(North Dakota State University, 2015)Requirements engineering is a subfield of software engineering that is concerned with analyzing software requirements specifications. An important process of requirement engineering is tracing requirements to investigate ... -
Effective Regression Testing of Web Applications through Reusability of Resources
(North Dakota State University, 2018)Regression testing is one of the most important and costly phases of a software development project. Regression testing is performed to ensure no new faults are introduced due to changes in a software. Web applications ... -
Extracting Useful Information and Building Predictive Models from Medical and Health-Care Data Using Machine Learning Techniques
(North Dakota State University, 2020)In healthcare, a large number of medical data has emerged. To effectively use these data to improve healthcare outcomes, clinicians need to identify the relevant measures and apply the correct analysis methods for the type ... -
Foundational Algorithms Underlying Horizontal Processing of Vertically Structured Big Data Using pTrees
(North Dakota State University, 2016)For Big Data, the time taken to process a data mining algorithm is a critical issue. Many reliable algorithms are unusable in the big data environment due to the fact that the processing takes an unacceptable amount of ... -
Fuzzy Reasoning Based Evolutionary Algorithms Applied to Data Mining
(North Dakota State University, 2015)Data mining and information retrieval are two difficult tasks for various reasons. First, as the volume of data increases tremendously, most of the data are complex, large, imprecise, uncertain or incomplete. Furthermore, ... -
Harnessing User Generated Multimedia Content in the Creation of Collaborative Classification Structures and Retrieval Learning Games
(North Dakota State University, 2015)This paper describes a software tool to assist groups of people in the classification and identification of real world objects called the Classification, Identification, and Retrieval-based Collaborative Learning Environment ... -
Heuristic Clustering with Secured Routing in Two Tier Sensor Networks
(North Dakota State University, 2013)This study addresses the management of Heterogeneous Sensor Networks (HSNs) in an area of interest. The use of sensors in our day-to-day life has increased dramatically, and in ten to fifteen years the sensor nodes may ... -
Improved Genetic Programming Techniques For Data Classification
(North Dakota State University, 2014)Evolutionary algorithms are one category of optimization techniques that are inspired by processes of biological evolution. Evolutionary computation is applied to many domains and one of the most important is data mining. ... -
Incorporating Sliding Window-Based Aggregation for Evaluating Topographic Variables in Geographic Information Systems
(North Dakota State University, 2019)The resolution of spatial data has increased over the past decade making them more accurate in depicting landform features. From using a 60m resolution Landsat imagery to resolution close to a meter provided by data from ... -
Increasing the Predictive Potential of Machine Learning Models for Enhancing Cybersecurity
(North Dakota State University, 2021)Networks have an increasing influence on our modern life, making Cybersecurity an important field of research. Cybersecurity techniques mainly focus on antivirus software, firewalls and intrusion detection systems (IDSs), ... -
Knowledge Discovery and Management within Service Centers
(North Dakota State University, 2016)These days, most enterprise service centers deploy Knowledge Discovery and Management (KDM) systems to address the challenge of timely delivery of a resourceful service request resolution while efficiently utilizing the ... -
Mapreduce-Enabled Scalable Nature-Inspired Approaches for Clustering
(North Dakota State University, 2014)The increasing volume of data to be analyzed imposes new challenges to the data mining methodologies. Traditional data mining such as clustering methods do not scale well with larger data sizes and are computationally ... -
Measurement of Non-Technical Skills of Software Development Teams
(North Dakota State University, 2014)Software Development managers recognize that project team dynamics is a key component of the success of any project. Managers can have a project with well-defined goals, an adequate schedule, technically skilled people and ... -
Metrics and Tools to Guide Design of Graphical User Interfaces
(North Dakota State University, 2014)User interface design metrics assist developers evaluate interface designs in early phase before delivering the software to end users. This dissertation presents a metric-based tool called GUIEvaluator for evaluating the ... -
Mining for Significant Information from Unstructured and Structured Biological Data and Its Applications
(North Dakota State University, 2012)Massive amounts of biological data are being accumulated in science. Searching for significant meaningful information and patterns from different types of data is necessary towards gaining knowledge from these large amounts ... -
Mining Interesting Subnetworks from Graphs with Node Attributes
(North Dakota State University, 2018)A lot of complex data in many scientific domains such as social networks, computational biology and internet of things (IoT) is represented using graphs. With the global expansion of internet, social networks had an explosive ... -
Mining Semantic Relationships Between Concepts Across Documents Using Wikipedia Knowledge
(North Dakota State University, 2013)The ongoing astounding growth of text data has created an enormous need for fast and efficient Text Mining algorithms. However, the sparsity and high dimensionality of text data present great challenges for representing ...