Search
Now showing items 1-10 of 28
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 ...
A Comparative Study on Different Big Data Tools
(North Dakota State University, 2020)
Big data has long been the topic of fascination for computer science enthusiasts around the world, and has gained even more prominence in recent times with the continuous explosion of data resulting from the likes of social ...
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, ...
Prediction Accuracy of Financial Data - Applying Several Resampling Techniques
(North Dakota State University, 2020)
With the help of Data Mining and Machine Learning, prediction has been a very popular and demanding instrument to plan and accomplish a future goal. The financial sector is one of the crucial sectors of present human ...
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 ...