Browsing Information Systems and Technology by Title
Now showing items 1-20 of 30
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A Hierarchical Rule-Based Security Management System for Date-Intensive Applications
(2018-11-21)Applications in today's software development environment evolve at a rapid rate, constantly providing their users with new functionalities. As a result, it becomes increasingly complex to understand the entire application. ... -
A Hybrid Approach for Large-Scale Product Categorization Based on Weighted KNN and LSTM-BPV
(2019-12-04)In modern e-commerce systems, large volumes of new items are being added to the product list everyday, which calls for automatic product categorization. In this thesis we propose a weighted K-Nearest Neighbour (KNN) based ... -
A Methodology for Eliciting and Ranking Control Points for Adaptive Systems
(2015-08-28)Designing an adaptive system to meet its quality constraints in the face of environmental uncertainties, such as variable demands, can be a challenging task. In cloud environment, a designer has to also consider and evaluate ... -
Adaptive Mechanisms for Mobile Spatio-Temporal Applications
(2014-07-09)Mobile spatio-temporal applications play a key role in many mission critical fields, including Business Intelligence, Traffic Management and Disaster Management. They are characterized by high data volume, velocity and ... -
Advancement of Data-Driven Short-Term Flood Predictions on an Urbanized Watershed Using Preprocessing Techniques
(2018-11-21)Supervised classification can be applied for short-term predictions of hydrological events in cases where the label of the event rather than its magnitude is crucial, as in the case of early flood warning systems. To be ... -
An Adaptive Architecture for Internet of Things Applications
(2019-03-05)The number of IoT devices has been growing exponentially as new products are being developed and legacy systems are becoming Internet enabled. As a consequence of this trend, the large amounts of traffic generated by IoT ... -
An Approach to Designing Clusters for Large Data Processing
(2015-08-28)Cloud computing is increasingly being adopted due to its cost savings and abilities to scale. As data continues to grow rapidly, an increasing amount of institutions are adopting non standard SQL clusters to address the ... -
An Empirical Study on the Role of Requirement Engineering in Agile Method and Its Impact on Quality
(2015-08-28)Agile Methods are characterized as flexible and easily adaptable. The need to keep up with multiple high-priority projects and shorter time-to-market demands could explain their increasing popularity. It also raises ... -
An Initial Analysis on the Impact of Software Transparency and Privacy on a Healthcare Environment
(2016-09-20)Transparency and privacy are two fundamental parts of any democratic society. Although both transparency and privacy are essential in todays environment they are often conflicting. Allowing more transparency is likely to ... -
Automatic Image Recognition of Rapid Malaria Emergency Diagnosis: A Deep Neural Network Approach
(2018-03-01)Deep learning is the state-of-the-art artificial intelligence (AI) method for visual pattern detection and automated diagnosis. This paper describes the application of convolutional neural network (CNN), the deep learning ... -
Automating Software Customization via Crowdsourcing using Association Rule Mining and Markov Decision Processes
(2015-01-26)As systems grow in size and complexity so do their configuration possibilities. Users of modern systems are easy to be confused and overwhelmed by the amount of choices they need to make in order to fit their systems to ... -
Comparing Representations of Contribution Labels in Goal Models
(2020-05-11)Goal models have been proposed to be an effective method to support decision making in early requirements engineering. Key to using them is the concept of contribution links that represent how the satisfaction of one goal ... -
Efficient Calculation of Optimal Configuration Processes
(2015-12-16)Customers are getting increasingly involved in the design of the products and services they choose by specifying their desired characteristics. As a result, configuration systems have become essential technologies to support ... -
Exploiting semantics for improving clinical information retrieval
(2016-06-23)Clinical information retrieval (IR) presents several challenges including terminology mismatch and granularity mismatch. One of the main objectives in clinical IR is to fill the semantic gap among the queries and documents ... -
Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets
(2018-08-27)Research into the combination of data mining and machine learning technology with web-based education systems (known as education data mining, or EDM) is becoming imperative in order to enhance the quality of education by ... -
How Software Transparency Can Mitigate Conflicts Among Different Stakeholders in the Animal Experimentation Domain
(2020-08-11)The arguments of whether animals should be used in the experiments have existed for decades. Stakeholders such as animal advocates, scientists, and mediators have been calling for more transparency to tackle the conflicts. ... -
Improvement in Probabilistic Information Retrieval Model: Rewarding Terms with High Relative Term Frequency
(2016-11-25)In this thesis, I propose the relative term frequency to be integrated into traditional probabilistic models, in other words, I introduce a set of three influence functions with the application of relative term frequency ... -
Integrating Classification With K-Means to Detect E-Commerce Transaction Anomaly
(2016-09-20)Effective data mining solutions have been anticipated in Electronic Commerce (E-Commerce) transaction anomaly detection model to accurately predict anomaly transaction records. However, there are many sub-optimal E-Commerce ... -
Machine Learning Approach to Predict Treatment Outcome Using Shockwave Lithotripsy in Management of Urinary Stone
(2020-08-11)In Ontario, shock wave lithotripsy (SWL) is a regionalized resource and St. Michaels Hospital is one of only three centers in the province offering this service. As such, many of the patients travel a great distance to ... -
Measuring Short Text Semantic Similarity with Deep Learning Models
(2018-11-21)Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken, which is a subfield of artificial intelligence (AI). The development of NLP applications is challenging ...