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Vector-Item Pattern Mining Algorithms and their Applications
(North Dakota State University, 2011)
Advances in storage technology have long been driving the need for new data mining techniques. Not only are typical data sets becoming larger, but the diversity of available attributes is increasing in many problem domains. ...
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 ...
Mining Frequent Coherent Patterns from Weighted Graphs
(North Dakota State University, 2014)
Current research on network analysis; such as community detection, pattern mining and many other graph mining application mostly focus on large social or biological networks. Such experiments may find interesting patterns ...
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 ...
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, ...
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 ...
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 ...
Semantics-Based Calorie Calculator
(North Dakota State University, 2017)
In recent years, people are considering healthy diet habits and many of them are trying to track and maintain their daily diet and consumption. To assist them, there are many applications available online and those ...
Perceptions of Genetically Modified Foods by Gender
(North Dakota State University, 2016)
Twitter is one of the most popular worldwide social networking services. It has more than 320 million monthly active users around the world. So it’s a very good way to discover what’s happening in the world and we can even ...