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Skip to Search Results- 36Zaiane, Osmar (Computing Science)
- 2Goebel, Randy (Computing Science)
- 1Bolduc, Francois (Pediatrics)
- 1Gross, Douglas (Physical Therapy)
- 1Günther, Johannes (Computing Science)
- 1Hu, Bryan (Electrical and Computer Engineering)
- 2Dziri, Nouha
- 1Abnar, Afra
- 1Adilmagambetov, Aibek
- 1Ahmed, Farrukh
- 1Alam Anik, Md Tanvir
- 1Austin, Eric
- 8Machine Learning
- 6Natural Language Processing
- 3Associative Classification
- 2Association Rules
- 2Community Detection
- 2Community Mining
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Fall 2010
Much structured data of scientific interest can be represented as networks, where sets of nodes or vertices are joined together in pairs by links or edges. Although these networks may belong to different research areas, there is one property that many of them do have in common: the network...
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Fall 2015
Polarity classification in text is the problem of automatically detecting the general opinion of textual data. Analyzing the general opinion toward a topic of interest is important for different audiences, such as companies, politicians or even regular users. On the other hand, the availability of...
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Spring 2014
All along their lives, individuals take roles in their interactions with each other. This behaviour is known as the role-taking characteristic of human beings. We refer to these roles as social roles that are the primary components of societies. Identifying social roles in a society helps to...
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Spring 2019
Online advertising is one of the most lucrative forms of advertising, with digital ad-spending expected to reach $83 billion in 2017, making it one of the most important channels of advertising media. Contextual Advertising is a type of online display advertising that takes cues from the content...
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Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters
DownloadFall 2012
The overwhelming amount of textual documents currently available highlights the need for information organization and discovery. Effectively organizing documents into a hierarchy of topics and subtopics makes it easier for users to browse the documents. This thesis borrows community mining...
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Spring 2019
With the burgeoning of online social media and the deluge of information in today's "big data" era, traditional community mining that relies on the connections of the nodes no longer suffices to find communities where the attributes of these nodes play an important role. Though vast research has...
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Fall 2022
Overfitting is a phenomenon when a machine learning system learns the patterns in training data so well that it starts to inauspiciously affect the model performance on unseen data. In practice, machine learning systems that overfit are not deployable rather systems that generalize well and do...
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Spring 2021
This thesis investigates the use of general value functions for detecting anomalous behavior in machines. Identifying abnormal behavior is critical for ensuring the safety and reliability of any machine or industrial process. When the cause of these anomalies is due to accumulated wear on...
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Reciprocal Recommendation System and Formation of Learning Groups in Massive Open Online Courses (MOOCs)
DownloadSpring 2017
Online learning is an emerging education technology area with increasing demands. Massive open online courses (MOOCs) is one such platform where users with completely different backgrounds subscribe to various courses on offer. However, oftentimes these users are hesitant to approach other users...
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Fall 2014
The classification of animal images based on camera trapping data is an important and challenging task in the domains of computer vision, machine learning and ecological management. This thesis presents an animal species identification system that can automatically identify the species of an...