Browsing by Subject "Data mining."

Now showing items 21-34 of 34

    • Prediction of Rental Demand for a Bike-Share Program 

      Nekkanti, Om prakash (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 ...

    • Processing Geographic Information Systems Data for Data Mining 

      Ahuja, Sarthak (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 ...

    • Reflection: The Las Vegas Strip - Introducing Big Data into Project Planning for User Informed Design 

      Lecy, Evan (North Dakota State University, 2019)
      Every world class city has a landmark, in Vegas it is “The Strip." Yet, this important gateway to Las Vegas venues is little more than a 10 lane downtown street controlled by stop lights. Reminiscent of 1970’s streets in ...

    • Region Based Data Mining on Agriculture Data 

      Battu, Babitha (North Dakota State University, 2015)
      Spatial Data Mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial databases. Most relationships in spatial datasets are regional and there is a great ...

    • Review Mining: Hierarchy Generation for Online Reviews 

      Rajan, Prateek (North Dakota State University, 2015)
      In the present world of ecommerce more and more products are purchased and sold online then via any other medium. With such massive drive in online shopping more and more information is being added every day on web regarding ...

    • Semantics-Based Calorie Calculator 

      Narra, Sravan Raghu Kumar (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 ...

    • Sentiment Analysis and Opinion Mining on Twitter with GMO Keyword 

      Li, Hanzhe (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 Global Warming Using Twitter Data 

      Mucha, Nithisha (North Dakota State University, 2018)
      Global warming or climate change is one of the most discussed topics of the decade. Some people think global warming is a severe threat to the planet whereas some people think, it is a hoax. The goal of this paper is to ...

    • Signature Extraction from E-Mails 

      Muttineni, Divya (North Dakota State University, 2016)
      Detecting user identity information from the email is one of the predominant exploring topics in data mining. One approach is to extract signature from the body of emails. Those names are usually suitable for representing ...

    • Social Network Based Recommendation System 

      Singh, Manish (North Dakota State University, 2013)
      Every day we are overwhelmed with choices and options. Recommendation systems have gained popularity in providing suggestions. But every web application today has its own recommendation system. The recommendations provided ...

    • Stock Price Prediction Using Recurrent Neural Networks 

      Jahan, Israt (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, ...

    • Study of Similarity Coefficients Using MapReduce Programming Model 

      Nayakam, GhanaShyam Nath (North Dakota State University, 2013)
      MapReduce is a programming model for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that ...

    • Using Artificial Intelligence to Derive a Public Transit Risk Index 

      Bridgelall, Raj (2022)
      A terrorist attack on the public transportation system of a city can cripple its economy. Uninformed investments in countermeasures may result in a waste of resources if the risk is negligible. However, risks are difficult ...

    • Vector-Item Pattern Mining Algorithms and their Applications 

      Wu, Jianfei (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. ...