Now showing items 174-193 of 238

    • Prediction Accuracy of Financial Data - Applying Several Resampling Techniques 

      Ali, Mohammad Reza (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 ...
    • 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 ...
    • Predictive Performance Evaluation of Different Neural Networks Using Stock Prices 

      Nyavanandi, Deepika (North Dakota State University, 2019)
      Forecasting stock market prices has been a challenging task due to its volatile nature and nonlinearity. Recently, artificial neural networks (ANNs) have become popular in solving a variety of scientific and financial ...
    • 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 ...
    • Project Quality Tool: A Tool for Project Success 

      Srichinta, Pallavi (North Dakota State University, 2014)
      This paper proposes a solution to the current changing requirements communication problem in an offshore on-site software development model. The proposed model is a web-based tool where the user in a project team can enter ...
    • Project Tracker and Organizer 

      Kambhampaty, Krishna Kanth (North Dakota State University, 2015)
      A Project Tracking and Organizer is a software tool which is a simple, fast and an efficient way to assign modules of a project to employees and track the progress of a project. Using this software, project status can be ...
    • Protein Functional Site Prediction Using the Shortest-Path Graph Kernel Method 

      Benaragama Vidanelage, Malinda Vikum Sanjaka (North Dakota State University, 2013)
      Over the past decade Structural Genomics projects have accumulated structural data for over 75,000 proteins, but the function of most of them are unknown due to limitation of laboratory approaches for discovering the ...
    • Protein-Function Prediction Using a Graph-Matching Algorithm 

      Shrestha, Sarjan (North Dakota State University, 2014)
      Proteins are the basic building blocks for biological life. Proteins interact with other proteins or molecules to carry out various functions. The active region in the protein molecule is the functional site. Today, most ...
    • Real Parameter Optimization Using Differential Evolution 

      Dawar, Deepak (North Dakota State University, 2013)
      Over recent years, Evolutionary Algorithms (EA) have emerged as a practical approach to solve hard optimization problems presented in real life. The inherent advantage of EA over other types of numerical optimization methods ...
    • A Realistic and Reliable Approach for Real Time Monitoring of Infrastructure 

      Garg, Rakhen (North Dakota State University, 2020)
      Rapid advancements in the field of site reliability engineering in the past few decades have made it an indispensable part of how humans create scalable and highly reliable software systems. The inherent need of a reliable ...
    • The Realization of Visualization and Prediction Models 

      Wang, Yijun (North Dakota State University, 2015)
      Visualization is a specific technique for building images, animations or diagrams to communicate a message [1]. Nowadays, it effective to communicate both abstract and concrete ideas for big data by visual imagery. ...
    • Recommendation of Business Intelligence Tool 

      Chhina, Ramneet (North Dakota State University, 2016)
      Business Intelligence (BI) is extremely vital for organizations for delivering useful information from the large volumes of data being collected. There are many BI tools available but no single tool is appropriate for every ...
    • Red River Flood Monitor iOS Application 

      Singh, Saumya (North Dakota State University, 2013)
      The Flood Monitor system is designed to help people share photos and information in case of a flood in the basin of the Red River. This work is part of the redesign of an application that has the goal of enabling mobile ...
    • 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 ...
    • REND: Reliable and Energy-Efficient Node-Disjoint Paths in Wireless Sensor Networks 

      Yanteru, Siva (North Dakota State University, 2010)
      In wireless sensor networks, finding most reliable and most efficient paths between source node and destination node is considered NP hard problem. We can increase reliability by ability to find node-disjoint alternate ...
    • Replication with Incentives in Centralized Peer to Peer Networks 

      Mudgal, Akshay (North Dakota State University, 2013)
      We are living in a digital age in which data production has become so ubiquitous that the demand for sharing will increase as more aspects of life become digital. There are several ways we share data: via websites and ...
    • Requirement Eliciting Process: A Method To Analyze Requirements Through Concept Maps 

      Fonseka, Marie Nilukshi (North Dakota State University, 2014)
      Conceptual modeling involves the understanding and communication between system analysts and end-users. Concept maps (CM) are informal, semantic, node-link conceptual graphs used to represent knowledge in a variety of ...
    • 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 ...
    • Role of Bias in Information Warfare: Classifying Fake News Articles Using Natural Language Processing 

      Gurmeet (North Dakota State University, 2020)
      The way that people consume news, entertainment and media has been changed. The print media and even television have started to become obsolete. In this digital age, social media being the biggest news source for the masses ...
    • Scheduling of Appliances Based on Sensitivity to Dynamic Pricing in a Smart Grid 

      Saha, Barsha (North Dakota State University, 2013)
      The work described in this paper models the scheduling of smart home appliances of different types of consumers based on their sensitivity to dynamic price changes. The price sensitivity is established on a scale of 0 to ...