Browsing Computer Science Masters Theses by Title
Now showing items 78-89 of 89
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Scalable Algorithms for Mining Maximal Quasi Frequent Subnetworks
(North Dakota State University, 2018)Frequent graph mining has received considerable attention from researchers. Existing algorithms for frequent subgraph mining do not scale for large networks, and take hours to finish. Mining multiple gene coexpressions ... -
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 ... -
Sentiment Analysis and Opinion Mining on Twitter with GMO Keyword
(North Dakota State University, 2016)Twitter are a new source of information for data mining techniques. Messages posted through Twitter provide a major information source to gauge public sentiment on topics ranging from politics to fashion trends. The purpose ... -
Sentiment Analysis of COVID-19 Vaccination Impact on Twitter Tweets Using NLP Supervised Learning and RNN Classification Comparison
(North Dakota State University, 2022)Twitter provides a platform for exchanging information and opinions on global concerns like the COVID-19 epidemic. During the COVID-19 pandemic, we used a collection of around 16,180 tweets to derive inferences regarding ... -
Sliding Window Based Technique to Obtain Correlation Between Field Variables
(North Dakota State University, 2015)In agriculture, finding correlation between field variables such as yield, NDVI, etc. is a classic problem. The most popular solution for finding correlation is to use regression analysis over complete field. In a field, ... -
Smart Grid Optimization Using a Capacitated Transshipment Problem Solver
(North Dakota State University, 2013)A network flow model known as the capacitated transshipment problem, or CTP, can represent key aspects of a smart grid test network with the goal of finding minimum cost electric power flows using multiple different cost ... -
Software Metrics Tool
(North Dakota State University, 2018)In the current world software applications are becoming more important with each passing day. They are present in all walks of life and it’s difficult to imagine a world without them. It’s a part of every known industry ... -
Training Set Selection to Improve Crop Classification
(North Dakota State University, 2015)In some classification problems, acquiring class label information is much more expensive than collecting attribute data. One such problem is crop classification from satellite imagery. While random sampling is one option, ... -
Uses and Gratifications of Amputees' Online Social Networks
(2011)The following thesis examined amputee support groups on Facebook. Having an 111 amputation can be a life-changing experience. and social support may be necessary to understand one's amputation. Hundreds of amputee groups ... -
Vector-Vector Patterns for Agricultural Data
(North Dakota State University, 2013)Agriculture is increasingly driven by massive data, and some challenges are not covered by existing statistics, machine learning, or data mining techniques. Many crops are characterized not only by yield but also by quality ... -
Vertical Data Structures and Computation of Sliding Window Averages in Two-Dimensional Data
(North Dakota State University, 2020)A vertical-style data structure and operations on data in that structure are explored and tested in the domain of sliding window average algorithms for geographical information systems (GIS) data. The approach allows working ... -
Zone Based Hybrid Approach for Clustering and Data Collection in Wireless Sensor Networks
(North Dakota State University, 2018)A wireless sensor network (WSN) is a collection of spatially distributed autonomous sensor nodes that can be used to monitor, among other things, environmental conditions. WSN nodes are constrained by their limited energy ...