Browsing Computer Science Masters Papers by Title

Now showing items 134-153 of 256

    • Investigation of Strength Pareto Evolutionary Algorithm 

      Kakarlapudi, Madhumitha (North Dakota State University, 2019)
      The Strength Pareto Evaluation Algorithm (SPEA) (Zitzler and Thiele 1999) is one of the prominent technique for approximating the pareto-optimal set for the Multiple Objective Optimization (MOO) algorithm. The Strength ...

    • ISO Analyzer and Reporting System 

      Yarram, Vishnu Vardhanna Reddy (North Dakota State University, 2013)
      This paper describes the development of a GUI-based application program called the ISO Analyzer and Reporting System. The Independent System Operator (ISO) Analyzer and Reporting System facilitates the study of electricity ...

    • A Java Class Analysis Program Development By ASM Library 

      Qiu, Chengxiang (North Dakota State University, 2017)
      Class analysis is useful technique that can be used in many situations, from the syntaxes parsing, potential bugs finding, and unused code detecting to reverse engineer coding. In this paper, I write a small program classasm ...

    • Job Aggregation Search Engine 

      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 ...

    • Job Scheduling with Genetic Algorithm 

      Barat, Debarshi (North Dakota State University, 2013)
      In this paper, we have used a Genetic Algorithm (GA) approach for providing a solution to the Job Scheduling Problem (JSP) of placing 5000 jobs on 806 machines. The GA starts off with a randomly generated population of 100 ...

    • K-Anonymization Implementation Using Apache Spark 

      Tortikar, Pratik (North Dakota State University, 2019)
      This experiment attempts on data which can reveal a person’s identity to anonymize with k-1 anonymity principle. "Given person-specific field-structured data, produce a release of the data with scientific guarantees that ...

    • Kakuro Solver Application 

      Takahashi, Naomi (North Dakota State University, 2010)
      In this paper, the application called KakuroSolver is presented that solves Kakuro, the popular logical puzzle that combines Sudoku and crossword. The application accepts a Kakuro puzzle with any size; it then either ...

    • A Map Reduce Approach of K-Means++ Algorithm with Initial Equidistant Centers 

      Bhattacharyya, Krittika (North Dakota State University, 2015)
      Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image segmentation and pattern classification. The enlarging volumes of information emerging by the ...

    • Market Basket Analysis Algorithm with MapReduce Using HDFS 

      Nuthalapati, Aditya (North Dakota State University, 2017)
      Market basket analysis techniques are substantially important to every day’s business decision. The traditional single processor and main memory based computing approach is not capable of handling ever increasing large ...

    • Maximizing Sensor Coverage using Displacement to Remove Overlaps 

      Fazal, Kareemullah Khan (North Dakota State University, 2011)
      Sensor networks are wireless networks with small, low-cost sensors which collect and disseminate environmental data. They are used for monitoring and controlling physical environments from remote locations with better ...

    • Mining Association Rules in Cloud 

      Roy, Pallavi (North Dakota State University, 2012)
      The association rule mining was implemented in Hadoop. An association rule mining helps in finding relation between the items or item sets in the given data. The performance of the algorithm was evaluated by testing it in ...

    • Mining Communities from Multi-Layered Graphs 

      Chao, Meng (North Dakota State University, 2013)
      Identifying communities from networks has been a subject of great interest in Biological and Social network analysis. Finding communities can help with tasks such as identifying and fighting disease. Using graphs to represent ...

    • Mining Connected Frequent Boolean Expressions 

      Kolte, Deepak (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 ...

    • Mining Frequent Coherent Patterns from Weighted Graphs 

      Ahmed, Syed Kutub Uddin (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 ...

    • Mining Quasi-Frequent Subnetworks in Graph Networks Using Edge-Edge Summary Graph 

      Dawar, Priyanka (North Dakota State University, 2017)
      In today’s computing world, graphs have become increasingly important in modeling sophisticated structures, entities and their interactions, with broad applications including Bioinformatics, Computer Vision, Web analysis ...

    • Mining Representative Cohesive Dense Subgraphs 

      Brazier, Tyler (North Dakota State University, 2014)
      Data mining techniques have an important implication in social and biological network analysis, were we're interested in finding related complexes and communities. A modern paradigm for solving this problem involves finding ...

    • Mobile Applications for Viewing Price and Load of Power Data from New York Independent System Operator 

      Gupta, Nimish (North Dakota State University, 2014)
      In New York, the New York Independent System Operator (NYISO) supervises the wholesale electrical market and collects different kinds of data, including price and load data, which are available on the NYISO’s website. These ...

    • Mobile Diabetes Application 

      Myneedi, Anusha (North Dakota State University, 2019)
      In recent years, Diabetes is becoming a serious health challenge. The prevalence of diabetes has increased with accompanying increases in body weight and diminished physical activity and with increased automation. Effective ...

    • A Mobile Game for Learning Cyber-Attacks and Their Prevention 

      Solanki, Piyush (North Dakota State University, 2023)
      This paper's primary goal is to use Bloom's Revised Taxonomy educational objectives in creating Cyber Air-Attack. It's a game that teaches fundamental concepts about cybersecurity. Because it simplifies and makes learning ...

    • Mobile Sensor movement using Simulated Annealing 

      Yamparala, Sri Harsha (North Dakota State University, 2009)
      Movement of mobile sensor nodes is an important aspect in wireless sensor networks, and there is considerable research underway into the design of mobile sensor movement algorithms for wireless sensor networks. Various ...