Information Systems and Technology
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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 ... -
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. ... -
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 ... -
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 ... -
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 ... -
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 ... -
Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems
(2018-03-01)The Collaborative Filtering recommendation systems have been developed to address the information overload problem and personalize the content to the users for business and organizations. However, the Collaborative Filtering ... -
Rewarding the Location of Terms in Sentences to Enhance Probabilistic Information Retrieval
(2017-07-27)In most traditional retrieval models, the weight (or probability) of a query term is estimated based on its own distribution or statistics. Intuitively, however, the nouns are more important in information retrieval and ... -
Towards an Ontology-Based Approach for Reusing Non-Functional Requirements Knowledge
(2017-07-27)Requirements Engineering play a crucial role during the software development process. Many works have pointed out that Non-Functional Requirements (NFR) are currently more important than Functional Requirements. NFRs can ... -
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 ... -
Toward Autonomic Data-Oriented Scalability in Cloud Computing Environments
(2016-09-20)The applications deployed in modern data centers are highly diverse in terms of architecture and performance needs. It is a challenge to provide consistent services to all applications in a shared environment. This thesis ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 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 ... -
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 ... -
Using Semantic-Based User Profile Modeling for Context-Aware Personalised Place Recommendations
(2015-08-28)Place Recommendation Systems (PRS's) are used to recommend places to visit to World Wide Web users. Existing PRS's are still limited by several problems, some of which are the problem of recommending similar set of places ... -
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 ...
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