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Prediction of Rental Demand for a Bike-Share Program
(North Dakota State University, 2017)
In recent years, bike-sharing programs have become more prevalent. Bicycle usage can be affected by different factors, such as nearby events, road closures, and on-campus traffic policies. The research presented here ...
Association Rule Mining of Biological Field Data Sets
(North Dakota State University, 2017)
Association rule mining is an important data mining technique, yet, its use in association analysis of biological data sets has been limited. This mining technique was applied on two biological data sets, a genome and a ...
GPU Enabled Particle Swarm Optimization
(North Dakota State University, 2017)
GPUs are massively parallelized devices. They were designed to handle billions of pixels per second. It is does this by embracing an incredible level of parallelism. GPUs in fact can leverage any other parallel algorithms ...
Using Learning Styles to Improve Software Requirements Quality: An Empirical Investigation
(North Dakota State University, 2017)
The success of a software organization depends upon its ability to deliver a quality software product within time and budget constraints. To ensure the delivery of quality software, software inspections have proven to be ...
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 ...
Automatic Conceptual Feedback on Software Tests
(North Dakota State University, 2017)
Students in introductory programming courses face many challenges. While the educators try their best to assist students with these challenges by adopting different approaches, majority of them end up overlooking the ...
Finding Hidden Relationships between Medical Concepts by Leveraging Metamap and Text Mining Techniques
(North Dakota State University, 2017)
A lot of efforts have been made in order to make new discoveries in the biomedical filed. However, those valuable information may be hidden in text without applying appropriate text mining techniques. In this paper, I ...
Mining Connected Frequent Boolean Expressions
(North Dakota State University, 2017)
In this paper, we are finding Connected Frequent Boolean Expressions from cancer dataset [14] and protein protein interaction network [14] to discover group of dysregulated genes. Frequent Itemset Mining is a process of ...
A Java Class Analysis Program Development By ASM Library
(North Dakota State University, 2017)
Class analysis is useful technique that can be used in many situations, from the syntaxes parsing, potential bugs finding, and unused code detecting to reverse engineer coding. In this paper, I write a small program classasm ...
Consumer Sentiment Analysis Using Twitter
(North Dakota State University, 2017)
Sentiment analysis is the task of finding people’s opinions about specific objects/matters. Ordinary people’s opinions affect the decision-making process. Today, there is a massive explosion of “sentiments” available on ...