Now showing items 1-13 of 13

    • Analytics for Everyone 

      El Gebaly, Kareem (University of Waterloo, 2018-05-23)
      Analyzing relational data typically involves tasks that facilitate gaining familiarity or insights and coming up with findings or conclusions based on the data. This process is usually practiced by data experts, such as ...
    • Data-intensive Scheduling 

      MENG, XIAO (University of Waterloo, 2019-09-19)
      In many modern data management scenarios, we encounter tasks, operations or computational phases that are data-intensive where the sheer volume of data proves to be overwhelming to handle and becomes a performance bottleneck. ...
    • Discovering Domain Orders through Order Dependencies 

      Karegar, MohammadReza (University of Waterloo, 2021-04-28)
      Most real-world data come with explicitly defined domain orders; e.g., lexicographic order for strings, numeric for integers, and chronological for time. Our goal is to discover implicit domain orders that we do not already ...
    • GRS: Combining Generation and Revision in Unsupervised Sentence Simplification 

      Dehghan, Mohammad (University of Waterloo, 2022-08-30)
      Text simplification is a task in the natural language processing field that alters a given text to reduce the structural and lexical complexity of the text while preserving the underlying meaning. We can classify existing ...
    • Improving Object Detection with MatrixNets 

      Agarwal, Rishav (University of Waterloo, 2020-11-20)
      Object detection is a popular task in computer vision with various applications, from pedestrian detection to face detection. Following the success of Convolutional Neural Networks (CNNs), many CNN based object detectors ...
    • Iterative Edit-based Unsupervised Sentence Simplification 

      Kumar, Dhruv (University of Waterloo, 2020-07-28)
      We present a new iterative approach towards unsupervised edit-based sentence simplification. Our approach is guided by a scoring function to select simplified sentences generated after iteratively performing word and ...
    • KG-Pipeline: An Automated Knowledge Graph Generation Framework 

      Vezvaei, Alireza (University of Waterloo, 2022-09-16)
      Knowledge Graphs (KGs) have many applications, specifically in information retrieval and question answering. Community projects are conducted for building large-scale KGs with crowdsourcing, but building KGs with this ...
    • POEM: Pattern-Oriented Explanations of CNN Models 

      Dadvar, Vargha (University of Waterloo, 2022-09-16)
      While Convolutional Neural Networks (CNN) achieve state-of-the-art predictive performance in applications such as computer vision, their predictions are difficult to explain, similar to other types of deep learning models. ...
    • Scalable Informative Rule Mining 

      Feng, Guoyao (University of Waterloo, 2016-08-10)
      In this thesis we present SIRUM: a system for Scalable Informative RUle Mining from multi-dimensional data. Informative rules have recently been studied in several contexts, including data summarization, data cube exploration ...
    • Semantic Order Compatibilities and Their Discovery 

      Mirsafian, Melicaalsadat (University of Waterloo, 2019-09-20)
      Ordered domains such as numbers and dates are common in real-life datasets. The SQL standard includes an ORDER BY clause to sort the results, and there has been research work on formalizing, reasoning about, and automatically ...
    • Stream WatDiv - A Streaming RDF Benchmark 

      Gao, Libo (University of Waterloo, 2018-01-18)
      Modern applications are required to process stream data which are semantically tagged. Sometimes static background data interlinked with stream data are also needed to answer the query. To meet these requirements, streaming ...
    • Text Mining to Understand Gender Issues: Stories from The Red Pill, Men's Rights, and Feminism Movements 

      Khan, Abeer (University of Waterloo, 2019-08-28)
      Addressing gender issues has become important worldwide. The United Nations (UN) endorses big data projects as a valuable tool to monitor its gender-related development goals. In this thesis, we first motivate the examination ...
    • Towards a New Generation of Permissioned Blockchain Systems 

      Gorenflo, Christian (University of Waterloo, 2020-05-14)
      With the release of Satoshi Nakamoto's Bitcoin system in 2008 a new decentralized computation paradigm, known as blockchain, was born. Bitcoin promised a trading network for virtual coins, publicly available for anyone to ...


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