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Now showing items 1271-1280 of 3109
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 ...
Processing Geographic Information Systems Data for Data Mining
(North Dakota State University, 2013)
Spatial data, including image data, are typically downloaded into GIS systems for processing purposes. The GIS data are optimized for establishing spatial relationships among objects. Spatial data can be produced rapidly ...
Multi-Variate Attribute Selection for Agricultural Data
(North Dakota State University, 2015)
Farmers always have been concerned about the quantity of crops (yield) as well as
the quality of crops (sugar content of the sugar beets). The quality and quantity of crops
are affected by various attributes, some are ...
ISO Analyzer and Reporting System
(North Dakota State University, 2013)
This paper describes the development of a GUI-based application program called the ISO Analyzer and Reporting System. The Independent System Operator (ISO) Analyzer and Reporting System facilitates the study of electricity ...
Design and Evaluation of Two Hybrid Genome Assembly Approaches Using Illumina, Roche 454, and PacBio Datasets
(North Dakota State University, 2016)
The assembly of next-generation sequencing reads is one of the most challenging and important tasks in bioinformatics. There are many different types of assembly algorithms and programs that have been developed to assemble ...
Investigating the Defect Patterns during the Software Development Projects
(North Dakota State University, 2014)
With the growing software industry and our dependency on complex software applications, it is vital that the software is free of faults. The objective of my study is to, identify and classify the most common type of defects ...
Stock Price Prediction Using Recurrent Neural Networks
(North Dakota State University, 2018)
The stock market is generally very unpredictable in nature. There are many factors that might be responsible to determine the price of a particular stock such as the market trend, supply and demand ratio, global economy, ...
Scheduling Smart Home Appliances using Goal Programming with Priority
(North Dakota State University, 2016)
Driven by the advancement of smart electrical grid technologies, automated home energy management systems are being increasingly and extensively studied, developed, and widely accepted. A system like this is indispensable ...
Modeling of Consumer Responses to Dynamic Pricing in a Smart Grid
(North Dakota State University, 2012)
This paper models the responses of three different types of consumers based on their sensitivity to dynamic price. Simulated household demand data is used to model the dynamic price of electricity. These prices are then ...
Computational Methods for Predicting Protein-Nucleic Acids Interaction
(North Dakota State University, 2015)
Since the inception of various proteomic projects, protein structures with unknown functions have been discovered at a fast speed. The proteins regulate many important biological processes by interacting with nucleic acids ...