Now showing items 1-6 of 6

    • Design and Validation of a Context-Aware Publish-Subscribe Model 

      Kumar, Akshat (University of Waterloo, 2015-12-21)
      A system is said to be context-aware if it can extract, interpret and use contextual information to adapt its functionality and enhance its utility. Context awareness allows the application to gain sensitivity for many ...
    • Graph-Based Spatial-Temporal Cluster Evolution: Representation, Analysis, and Implementation 

      da Silva Portugal, Ivens (University of Waterloo, 2023-08-28)
      Spatial-temporal data are information about real-world entities that exist in a location, the spatial dimension, and during a period of time, the temporal dimension. These real-world entities, such as vehicles, people, or ...
    • Multi-Agent Modeling of Risk-Aware and Privacy-Preserving Recommender Systems 

      Srivastava, Vishnu (University of Waterloo, 2017-04-25)
      Recent progress in the field of recommender systems has led to increases in the accuracy and significant improvements in the personalization of recommendations. These results are being achieved in general by gathering more ...
    • Software Engineering for Big Data Systems 

      Kumar, Vijay Dipti (University of Waterloo, 2017-04-24)
      Software engineering is the application of a systematic approach to designing, operating and maintaining software systems and the study of all the activities involved in achieving the same. The software engineering discipline ...
    • A Software Framework for PCA-based Face Recognition 

      Peng, Peng (University of Waterloo, 2016-04-28)
      Face recognition, as one of the major biometrics identification methods, has been applied in different fields involving economics, military, e-commerce, and security. Its touchless identification process and non-compulsory ...
    • A Variability-Aware Design Approach to the Data Analysis Modeling Process 

      Tavares, MariaCristina (University of Waterloo, 2018-10-25)
      The massive amount of current data has led to many different forms of data analysis processes that aim to explore this data to uncover valuable insights such as trends, anomalies and patterns. These processes support ...


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