Research from the Department of Computer Science. The department website may be found at https://www.ndsu.edu/cs/

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Recent Submissions

  • Pressure-based Authentication: A Secure and Usable Approach 

    Meng, Zhangyu; Meng, Zhangyu (North Dakota State University, 2018)
    Due to its invisibility feature, pressure force is useful to enhance the security of authentication, especially preventing shoulder surfing. However, it is challenging to memorize a pressure-based password. This paper ...
  • Basic Cybersecurity Awareness Through Gaming 

    Kulkarni, Vikas Krishnarao (North Dakota State University, 2019)
    The goal of this paper is to bring the basic awareness of cybersecurity among students so that they do not become a victim of cybercrime. Studies show that cybersecurity serious games support multiple well-established ...
  • Job Aggregation Search Engine 

    Sundaram, Anita; Sundaram, Anita (North Dakota State University, 2011)
    In this paper we describe the design and implementation of a Job Aggregation Search Engine (JASE) that acts as a one-stop-shop for listing recently posted jobs across top multiple job search engines. There are multiple job ...
  • A Linear Delay Algorithm for Enumerating All Connected Induced Subgraphs 

    Alokshiya, Mohammed; Alokshiya, Mohammed (North Dakota State University, 2018)
    Real biological and social data is increasingly being represented as graphs. Pattern-mining-based graph learning and analysis techniques report meaningful biological subnetworks that elucidate important interactions among ...
  • A Circle-Geocaching Game Based on Classified Specimens 

    Agasaladinni Reddy, Prabhakara Reddy (North Dakota State University, 2018)
    This paper describes a CIRCLE-Geocaching extensible system played for the purpose of rehearsal learning. The system operates over a classification tree built by an instructor or a group of students engaged in classification, ...
  • Sentiment Analysis on Twitter Data Using Different Algorithms 

    Nazma, Monzuma (North Dakota State University, 2018)
    Sentiment analysis is the process of determining opinion expressed in a text, or an estimation of emotion related to the certain topic if it is negative, positive or neutral. The massive growth of social media, Twitter has ...
  • Comparison of RNN, LSTM and GRU on Speech Recognition Data 

    Shewalkar, Apeksha Nagesh (North Dakota State University, 2018)
    Deep Learning [DL] provides an efficient way to train Deep Neural Networks [DNN]. DDNs when used for end-to-end Automatic Speech Recognition [ASR] tasks, could produce more accurate results compared to traditional ASR. ...
  • Mining Structure Patterns Based on 3D Features in the Protein-DNA and Protein-protein Complex 

    Sun, Qing; Sun, Qing (North Dakota State University, 2018)
    For a long time, researchers have been searching for the “recognition codes” of protein complexes, which determine what DNA sequence or other protein a protein can bind to. The binding part prediction of protein complexes ...
  • Effective Regression Testing of Web Applications through Reusability of Resources 

    Eda, Madhusudana Ravi; Eda, Madhusudana Ravi (North Dakota State University, 2018)
    Regression testing is one of the most important and costly phases of a software development project. Regression testing is performed to ensure no new faults are introduced due to changes in a software. Web applications ...
  • Performance Comparison of Apache Spark MLlib 

    Sharma, Pallavi (North Dakota State University, 2018)
    This study makes an attempt to understand the performance of Apache Spark and the MLlib platform. To this end, the cluster computing system of Apache Spark is set up and five supervised machine learning algorithms (Naïve-Bayes, ...
  • Vector-Item Pattern Mining Algorithms and their Applications 

    Wu, Jianfei; 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. ...
  • Multi-Style Web Content Restructuring for Efficient Mobile Web Browsing 

    Xia, Xiaojun; Xia, Xiaojun (North Dakota State University, 2011)
    Mobile devices such as smart phones, PDAs, and tablets are getting more and more popular every day. As a result, more people tend to use mobile devices to access Web contents. Therefore, mobile browsing becomes an important ...
  • Health Risk Prediction Using Big Medical Data - a Collaborative Filtering-Enhanced Deep Learning Approach 

    Li, Xin (North Dakota State University, 2018)
    Deep learning has yielded immense success on many different scenarios. With the success in other real world application, it has been applied into big medical data. However, discovering knowledge from these data can be very ...
  • 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, ...
  • Deception in Cyberspace: Con-Man Attack in Cloud Services 

    Chowdhury, Md. Minhaz; Chowdhury, Md. Minhaz (North Dakota State University, 2018)
    A con-man deception appears in services from cyberspace, e.g., in cloud services. A cloud-service provider deceives by repeatedly providing less service than promised and deliberately avoids service monitoring. Such a ...
  • In Memory Computation of Glowworm Swarm Optimization Applied to Multimodal Functions Using Apache Spark 

    Miryala, Goutham (North Dakota State University, 2018)
    Glowworm Swarm Optimization (GSO) is one of the optimization techniques, which need to be parallelized in order to evaluate large problems with high-dimensional function spaces. There are various issues involved in the ...
  • Using Human Error Models to Improve the Quality of Software Requirements 

    Anu, Vaibhav Kumar; Anu, Vaibhav Kumar (North Dakota State University, 2018)
    Creating high quality software is a primary concern for software development organizations. Researchers have devoted considerable effort in developing quality improvement methods that help software engineers detect faults ...
  • Zone Based Hybrid Approach for Clustering and Data Collection in Wireless Sensor Networks 

    Dayananda, Karanam Ravichandran (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 ...
  • Scalable Algorithms for Mining Maximal Quasi Frequent Subnetworks 

    El Radie, Eihab Salah (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 ...
  • Context Specific Module Mining from Multiple Co-Expression Graph 

    Hossain, Md Shakhawat; Hossain, Md Shakhawat (North Dakota State University, 2017)
    Gene co-expression networks can be used to associate genes of unknown function with biological processes or to find genes in a specific context, environment responsible for a disease. We provide an overview of methods and ...

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