Now showing items 1-10 of 10

    • Concept Mining: A Conceptual Understanding based Approach 

      Shehata, Shady (University of Waterloo, 2009-05-21)
      Due to the daily rapid growth of the information, there are considerable needs to extract and discover valuable knowledge from data sources such as the World Wide Web. Most of the common techniques in text mining are ...
    • A Data Mining Approach for Detecting Evolutionary Divergence in Transcriptomic Data 

      Woody, Owen (University of Waterloo, 2019-11-19)
      It has become common to produce genome sequences for organisms of scientific or popular interest. Although these genome projects provide insight into the gene and protein complements of a species including their evolutionary ...
    • Feature Analysis and Classification of Inflammatory Bowel Disease and Hidradenitis Suppurativa Using Data Mining 

      Nadalian, Soheila (University of Waterloo, 2023-03-14)
      Inflammatory Bowel Disease (IBD) refers to a group of conditions that primarily affect the gut and cause inflammation. In contrast, Hidradenitis Suppurativa (HS) is a chronic immune-mediated condition characterized by boils ...
    • Mining Butterflies in Streaming Graphs 

      Sheshbolouki, Aida (University of Waterloo, 2023-07-12)
      This thesis introduces two main-memory systems sGrapp and sGradd for performing the fundamental analytic tasks of biclique counting and concept drift detection over a streaming graph. A data-driven heuristic is used to ...
    • Multi-Agent User-Centric Specialization and Collaboration for Information Retrieval 

      Mooman, Abdelniser (University of Waterloo, 2012-09-19)
      The amount of information on the World Wide Web (WWW) is rapidly growing in pace and topic diversity. This has made it increasingly difficult, and often frustrating, for information seekers to retrieve the content they are ...
    • Pattern Discovery and Disentanglement for Clinical Data Analysis 

      Zhou, Pei-Yuan (University of Waterloo, 2020-09-10)
      In recent years, machine learning approaches have important empirical successes on analysing data such as images, signals, texts and speeches with applications in biomedical and clinical areas. However, from the perspective ...
    • Saving Electrical Energy in Commercial Buildings 

      Case, Ryan (University of Waterloo, 2012-08-27)
      With the commercial and institutional building sectors using approximately 29% and 34% of all electrical energy consumption in Canada and the United States, respectively, saving electrical energy in commercial and institutional ...
    • Subseries Join and Compression of Time Series Data Based on Non-uniform Segmentation 

      Lin, Yi (University of Waterloo, 2008-09-24)
      A time series is composed of a sequence of data items that are measured at uniform intervals. Many application areas generate or manipulate time series, including finance, medicine, digital audio, and motion capture. ...
    • Temporospatial Context-Aware Vehicular Crash Risk Prediction 

      Mehrannia, Pouya (University of Waterloo, 2020-05-29)
      With the demand for more vehicles increasing, road safety is becoming a growing concern. Traffic collisions take many lives and cost billions of dollars in losses. This explains the growing interest of governments, academic ...
    • A Theoretical Study of Clusterability and Clustering Quality 

      Ackerman, Margareta (University of Waterloo, 2008-01-16)
      Clustering is a widely used technique, with applications ranging from data mining, bioinformatics and image analysis to marketing, psychology, and city planning. Despite the practical importance of clustering, there is ...

      UWSpace

      University of Waterloo Library
      200 University Avenue West
      Waterloo, Ontario, Canada N2L 3G1
      519 888 4883

      All items in UWSpace are protected by copyright, with all rights reserved.

      DSpace software

      Service outages