Browsing Computer Science Doctoral Work by Title
Now showing items 27-46 of 67
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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 ... -
Mining Significant Patterns by Integrating Biological Interaction Networks with Gene Profiles
(North Dakota State University, 2015)Nowadays, large amounts of high-throughput data are available. Automatic with classical cell biology techniques which are employed in the analysis of cell functions, interactions, and how pathogens can exploit them in ... -
Mining Structure Patterns Based on 3D Features in the Protein-DNA and Protein-protein Complex
(North Dakota State University, 2018)For a long time, researchers have been searching for the “recognition codes” of protein complexes, which determine what DNA sequence or other protein a protein can bind to. The binding part prediction of protein complexes ... -
A New Coupling Metric: Combining Structural and Semantic Relationships
(North Dakota State University, 2014)Maintaining object-oriented software is problematic and expensive. Earlier research has revealed that complex relationships among object-oriented software entities are key reasons that make maintenance costly. Therefore, ... -
A New Structural Feature for Lysine Post-Translation Modification Prediction Using Machine Learning
(North Dakota State University, 2021)Lysine post-translational modification (PTM) plays a vital role in modulating multiple biological processes and functions. Lab-based lysine PTM identification is laborious and time-consuming, which impede large-scale ... -
Pattern Recognition and Quantifying Associations Within Entities of Data Driven Systems for Improving Model Interpretability
(North Dakota State University, 2022)Discovering associations among entities of a system plays an important role in data science. The majority of the data science related problems have become heavily dependent on Machine Learning (ML) since the rise of ... -
Scalable Particle Swarm Optimization and Differential Evolution Approaches Applied to Classification
(North Dakota State University, 2019)Applying the nature-inspired methods in the data mining area has been gaining more attention by researchers. Classification is one of the data mining tasks which aims to analyze historical data by discovering hidden ... -
A Secure and Reliable Interference-Aware Wireless Mesh Network Design
(North Dakota State University, 2012)A wireless mesh network (WMN) is a multihop wireless network consisting of a large number of wireless nodes of which some are called gateway nodes and connected with a wired network. Wireless mesh network have attracted ... -
Simulating Multi-Agent Decision Making for a Self Healing Smart Grid
(North Dakota State University, 2013)Dynamic real-time power systems like the national power grid operate in continuously changing environments such as adverse weather conditions, power line malfunctions, device failures, etc. These disruptions can lead to ... -
Software Engineering Methodologies in Developing a Railway Condition Monitoring System
(North Dakota State University, 2022)With the continuous growth of rail track geometry irregularities due to aging, environmental factors, and wheel loads, rail track requires frequent maintenance. Railroads often rely on the precise and correct localization ... -
Spatially Aware Computing for Natural Interaction
(North Dakota State University, 2013)Spatial information refers to the location of an object in a physical or digital world. Besides, it also includes the relative position of an object related to other objects around it. In this dissertation, three systems ...