Browsing Computer Science Doctoral Work by Title
Now showing items 31-50 of 67
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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 ... -
Stock Prediction Analyzing Investor Sentiments
(North Dakota State University, 2018)We are going through a phase of data evolution where a major portion of the data from our daily lives is now been stored on social media platforms. In recent years, social media has become ubiquitous and important for ... -
A Structural Metric Model to Predict the Complexity of Web Interfaces
(North Dakota State University, 2017)The complexity of web pages has been widely investigated. Many experimental studies used several metrics to measure certain aspects of the users, tasks or GUIs. In this research, we focusing on the visual structure of web ... -
Systematic Approaches to Improve Test Case Prioritization Using Requirements and Risks
(North Dakota State University, 2016)The use of system requirements and their risks enables software testers to identify more important test cases that can reveal faults associated with risky components. Having identified important test cases, software testers ... -
Towards Better Engineering of Enterprise Resource Planning Systems
(North Dakota State University, 2016)In spite of their high implementation failure rate, Enterprise Resource Planning (ERP) software remains a popular choice for most businesses. When it succeeds, ERP software provides effective integration of formerly isolated ...