• Analysis of large time-series data in OpenTSDB 

      Agrawal, Bikash (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)
      In recent years, the quantity of time series data generated in a wide variety of domains have grown consistently. Analyzing time-series datasets at a massive scale is one of the biggest challenges that data scientists ...
    • Data acquisition in hadoop system 

      Jia, Baodong (Masteroppgave/UIS-TN-IDE/2010;, Master thesis, 2010)
      Data has become more and more important these years, especially for big companies, and it is of great bene t to dig out useful information inside. In Oil & Gas industry, there are a lot of data available, both in ...
    • Methods for large-scale semantic expansion on Hadoop architecture 

      Byambajargal, Byambajav (Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)
      Volume of publicly available data in biomedicine is constantly increasing. However, this data is stored in different formats on different platforms. Integrating this data will enable us to facilitate the pace of medical ...
    • Privacy preserving for Big Data Analysis 

      Russom, Yohannes (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)
      The Safer@Home [6] project at the University of Stavanger aims to create a smart home system capturing sensor data from homes into it’s data cluster. To provide assistive services through data analytic technologies, ...
    • Quadratic Sieve integer factorization using Hadoop 

      Ghebregiorgish, Semere Tsehaye (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      Integer factorization problem is one of the most important parts in the world of cryptography. The security of the widely-used public-key cryptographic algorithm, RSA [1], and the Blum Blum Shub cryptographic ...