Browsing Theses by Supervisor "Golab, Lukasz"
Now showing items 1-20 of 23
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Analytics for Everyone
(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 ... -
Analyzing the Usage Patterns of Electric Bikes
(University of Waterloo, 2016-01-15)Electric bicycles (e-bikes) are growing as an energy efficient alternative to public transportation, and cars. However, their adoption in North America has not increased at the same rate as in other countries like Germany, ... -
Data-Driven Estimation of Soiling Loss and Optimal Cleaning Schedule for a Utility-Scale PV Plant
(University of Waterloo, 2023-04-19)Soiling of panels in solar power plants can reduce production levels. In this thesis, we estimate the effect of soiling on power production and efficiency, as well as the gains from cleaning. Power data from a plant in ... -
Data-intensive Scheduling
(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
(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 ... -
Gender Differences in Engineering: A Data-Driven Study
(University of Waterloo, 2022-09-27)The gender gap in Science, Technology, Engineering, and Mathematics (STEM) is well known. Not only do fewer women apply to and earn engineering degrees, but also more women leave engineering programs and careers. Past ... -
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification
(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
(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
(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 ... -
Job description mining to understand undergraduate co-operative placements
(University of Waterloo, 2017-09-05)Co-operative education has become popular worldwide. In this thesis, we use a text mining methodology to analyze over 17,000 co-op job postings in order to understand the co-op market in a large post-secondary institution. ... -
KG-Pipeline: An Automated Knowledge Graph Generation Framework
(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 ... -
Localization and Counting of Indoor Populations on a University Campus using Wi-Fi Connection Logs and Floor Plans
(University of Waterloo, 2023-04-17)The localization and counting of persons in indoor spaces is an area of extensive research. Indoor population metrics can inform energy conservation, health and safety, security, resource optimization, and location-aware ... -
On the Data Quality of Remotely Sensed Forest Maps
(University of Waterloo, 2023-08-10)Accurate forest monitoring data are essential for understanding and conserving forest ecosystems. However, the remoteness of forests and the scarcity of ground truth make it hard to identify data quality issues. We present ... -
POEM: Pattern-Oriented Explanations of CNN Models
(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
(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
(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 ... -
Social media mining to investigate the impacts of the COVID-19 pandemic
(University of Waterloo, 2022-08-16)The COVID-19 pandemic created a global crisis with devastating social and economic impacts. Firstly, public health measures for COVID-19, such as social distancing affected how we work and study. Secondly, this crisis ... -
Stream WatDiv - A Streaming RDF Benchmark
(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 ... -
Student Success in Co-operative Education: An Analysis of Job Postings and Performance Evaluations
(University of Waterloo, 2023-05-26)Co-operative education (co-op) programs combine coursework and work internships and have become popular worldwide. In this analysis, we use two separate co-op datasets to understand employer expectations and factors that ... -
Text Mining to Understand Emotion Triggers
(University of Waterloo, 2019-05-15)In computational linguistics, most sentiment analysis builds binary classification models on customer reviews data to predict whether a review is positive or negative. In this thesis, we go a step further and build ...