Now showing items 1-20 of 24

    • Auction Shill Detection Framework Based on SWM 

      Ganguly, Swati (Faculty of Graduate Studies and Research, University of Regina, 2016-12)
      Online auctioning has attracted serious in-auction fraud, such as shill bidding, given the huge amount of money involved and the anonymity of users. Due to the fact that shill bidding is difficult to detect as well as ...
    • Cost-Sensitive and Semi-Supervised Learning for Fraud 

      Elshaar, Sulaf (Faculty of Graduate Studies and Research, University of Regina, 2020-04)
      Given the magnitude of e-auction transactions, it becomes challenging to safeguard consumers from dishonest sellers, such as shill bidders. Shill Bidding (SB) is a predominant auction fraud that is driven by modern-day ...
    • Customer Sentiment Analysis in Arabic Social Media 

      Yafoz, Ayman Ahmed (Faculty of Graduate Studies and Research, University of Regina, 2020-12)
      Performing sentiment analysis on text document is an active research area. Social media includes valuable information resources in various languages, which encompass reviews, comments, tweets, posts, opinions, articles ...
    • Elicitation of Constraints and Qualitative Preferences in Multi-Attribute Auctions 

      Shil, Shubhashis Kumar (Faculty of Graduate Studies and Research, University of Regina, 2013-11)
      Multi-Attribute Reverse Auctions (MARAs) allow negotiation between the buyer and sellers over price along with other non-price attributes such as delivery time, sellers' reputation, and product quality. The seller with ...
    • An Empirical Study on Sum-Product Networks Structure Learning and Deep Convolutional Sum-Product Networks 

      Lobo Teixeira, Andra (Faculty of Graduate Studies and Research, University of Regina, 2020-01)
      Sum-product Networks (SPNs) are generative probabilistic models which obtained the attention of the community for its tractability and easy methods for learning. Our rst main contribution is an empirical comparison of ...
    • Evolutionary Winner Determination in Advanced Combinatorial Reverse Auctions 

      Shil, Shubhashis Kumar (Faculty of Graduate Studies and Research, University of Regina, 2017-09)
      Traditional Combinatorial Reverse Auctions (CRAs) are already very hard problems to solve. By considering the multiplicity of units, attributes and objectives of items; the complexity of CRAs increases. Winner Determination ...
    • Feature extraction and descriptor based on Fourier transform of local images 

      Han, Peizhi (Faculty of Graduate Studies and Research, University of Regina, 2022-07)
      Image feature descriptors are the foundation of pattern recognition and computer vision. With the rapid development of artificial intelligence technology, the Fourier transform is successfully used in speech recognition. ...
    • Formulations of Shadowed Sets and Three-Way Approximations of Fuzzy Sets 

      Wang, Shu (Faculty of Graduate Studies and Research, University of Regina, 2016-01)
      A three-way, three-valued, or three-region approximation of a fuzzy set is constructed from a pair of thresholds ( ; ) with 0 < 1 on its membership function. An element whose membership grade equals to or is ...
    • A Fuzzy Inference Systems Approach Based on CBC Parameters for the Diagnosis of Leukemia 

      Khan, Ahaduzzaman (Faculty of Graduate Studies and Research, University of Regina, 2021-06)
      Leukemia is one of the fatal cancers worldwide with ambiguous symptoms and higher mortality rates. In the ranking of cancerous diseases that cause death, leukemia is ranked in the 6th position. The average 5-year survival ...
    • Handling Qualitative and Quantitative Preferences with Constraints in Interactive Applications 

      Mohammed, Bandar (Faculty of Graduate Studies and Research, University of Regina, 2017-03)
      Preference elicitation is very important for interactive systems. A potential buyer typically has speci c expectations in the attributes of the product he or she is interested in. While the current interactive systems ...
    • Incorporating Three-Way Email Spam Filtering With Game-Theoretic Rough Sets 

      Liu, Pengfei (Faculty of Graduate Studies and Research, University of Regina, 2019-02)
      Email spam filtering commonly is viewed as binary classification problem, that is, classifies incoming email messages into spam or non-spam email. But it has two main limitations. Firstly, binary classification needs ...
    • An Intelligent System for Autism Spectrum Disorder (ASD) Diagnostics 

      Hajirasouliha, Elahe (Faculty of Graduate Studies and Research, University of Regina, 2022-03)
      Autism Spectrum Disorder (ASD) is a developmental disorder that directly affects personal communications and behavior. This disorder can be diagnosed at any age and gender. Researchers identify this problem as a developmental ...
    • Internet of Things (IoT) Device Fingerprinting for Anomaly Detection 

      Falola, Oluwatosin Olajide (Faculty of Graduate Studies and Research, University of Regina, 2020-09)
      Diverse Internet of Things (IoT) devices are continuously introduced in a variety of environments, e.g., home, industry, military, etc. Unfortunately, these devices can be exploited to perpetrate severe attacks, as shown ...
    • Klink Search: Enabling Exploratory Browsing Activities in Digital Libraries 

      Shukla, Soumya Virendra Kumar (Faculty of Graduate Studies and Research, University of Regina, 2021-03)
      Complex search tasks within academic digital libraries go beyond simple lookup. They are open-ended, multi-faceted, with ill-defined information needs, requiring cognitive processing of the encountered information and ...
    • Machine Learning for Shill Bidding Classification Models 

      Alzahrani, Ahmad Atea (Faculty of Graduate Studies and Research, University of Regina, 2019-09)
      As online auctions become more prevalent worldwide, they are increasingly targeted by various types of cyber-crimes. In-auction fraud, such as shill bidding (SB), is considered the most challenging to detect. SB has been ...
    • Modeling and Measuring Association for Ordinal Data 

      Gong, Huihan (Faculty of Graduate Studies and Research, University of Regina, 2012-07)
      We propose the modified Pearson goodness-of-fit statistic and consider it in the cumulative contingency tables. For the non-cumulative tables, we provide the scoring systems and the variance minimization correction term ...
    • Multivariate Zero-Inflated Double Poisson Distribution With Application 

      Shi, Luya (Faculty of Graduate Studies and Research, University of Regina, 2020-03)
      In this thesis, a new multivariate zero-inflated double Poisson distribution is proposed, which is considered as the generalization of univariate zero-inflated double Poisson distribution. The statistical properties of ...
    • On the Hypothesis Testing Procedure for Both Parameters of the Binomial Distribution 

      Kaur, Jasmine (Faculty of Graduate Studies and Research, University of Regina, 2021-08)
      The main purpose of this thesis is to perform the hypothesis tests of parameters p and m (both are unknown) of the binomial distribution. Delta method and the moment generating function are used to derive the important ...
    • Outliers Detection of Temporal Gene Expressions Under Multiple Conditions 

      Wei, Yingjie (Faculty of Graduate Studies and Research, University of Regina, 2018-12)
      Temporal gene expression data have been studied and applied in biological, biomedical studies and early cancer detection. A set of temporal gene expression data in bacteria shows that the gene expression has different ...
    • Probing Detector for Image Local Frequency Analysis 

      Liu, Bingyang (Faculty of Graduate Studies and Research, University of Regina, 2017-06)
      The Fourier transform is a century-old mathematical theory. Among many of its applications, it has been the foundation of signal processing since the middle of 20th century. Specifically, it has been hugely successful to ...