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A Time-Aware Approach to Improving Ad-hoc Information Retrieval from Microblogs
(2014-07-09)There is an immense number of short-text documents produced as the result of microblogging. The content produced is growing as the number of microbloggers grows, and as active microbloggers continue to post millions of ... -
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 ... -
Re-ranking Real-time Web Tweets to Find Reliable and Influential Twitterers
(2014-07-09)Twitter is a powerful social media tool to share information on different topics around the world. Following different users/accounts is the most effective way to get information propagated in Twitter. Due to Twitter's ... -
Using Learning to Rank Approach to Promoting Diversity for Biomedical Information Retrieval with Wikipedia
(2014-07-28)In most of the traditional information retrieval (IR) models, the independent relevance assumption is taken, which assumes the relevance of a document is independent of other documents. However, the pitfall of this is ... -
A Methodology for Eliciting and Ranking Control Points for Adaptive Systems
(2014-07-28)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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...