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Analyses of People’s Perceptions Toward Risks in Genetically Modified Organisms
(North Dakota State University, 2016)
This research aims to analyze people’s perceptions about the potential risks associated with the presence of genetically modified organisms (GMOs) in food products. We formulated research questions and hypotheses based on ...
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 ...
Deception in Cyberspace: Con-Man Attack in Cloud Services
(North Dakota State University, 2018)
A con-man deception appears in services from cyberspace, e.g., in cloud services. A cloud-service provider deceives by repeatedly providing less service than promised and deliberately avoids service monitoring. Such a ...
A Data Mining Approach to Radiation Hybrid Mapping
(North Dakota State University, 2014)
The task of mapping markers from Radiation Hybrid (RH) mapping experiments is typically viewed as equivalent to the traveling-salesman problem, which has combinatorial complexity. As an additional problem, experiments ...
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 ...
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 ...
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, ...
User-Behavior Trust Modeling in Cloud Security
(North Dakota State University, 2019)
With the cloud computing increasing in popularity by providing a massive number of services such as recourses and data center, the number of attacks is increasing. Security is a basic concern in cloud computing, and threats ...
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 ...