The application of big data analytics on data and any information collected, enables mobile operators to profile customers, depending on the historical and real time habits at certain locations and times. The results generated of big data analytics and carried by mobile operator…
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Com a expansão da agropecuária brasileira, o aumento da exportação e do rigor na garantia de segurança alimentar é cada vez mais urgente existindo a necessidade de investir em tecnologias voltadas para a gestão de seus processos produtivos. Medir, planear, melhorar os resultados…
Large, complex system development projects take several years to execute. Such projects involve hundreds of engineers who develop thousands of parts and millions of lines of code. During the course of a project, many design decisions often need to be changed due to the emergence…
The rapid rise of shared electric scooter (E-Scooter) systems offers many urban areas a new micro-mobility solution. The portable and flexible characteristics have made E-Scooters a competitive mode for short-distance trips. Compared to other modes such as bikes, E-Scooters allo…
This research addresses a process mining methodology to maximize the information obtained from data bases with high levels of event order uncertainty. In healthcare environments, the databases that are easiest to obtain and most representative of a patient's entire hospital stay…
Hospitals in the United States find it difficult to meet patient demand in a timely manner. They look for solutions that would better allow them to manage patient flow, and at the same time avoid allocating more resources than necessary. This research has two main objectives. Th…
Behavioral pattern prediction has many applications, ranging from consumer buying behavior analysis, web surfing prediction to network attack prediction. The traditional behavioral pattern prediction technique works mainly on a fixed dataset. But recent advances in digital techn…
Is there any similarity between the contexts of the Holy Bible and the Holy Quran, and can this be proven mathematically? The purpose of this research is using the Bible and the Quran as our corpus, we explore the performance of various feature extraction and machine learning te…
This dissertation presents a novel features selection wrapper method based on neural networks, named the Binary Wrapper for Features Selection Technique. The major aim of this method is to reduce the computation time that is consumed during the implementation of the process of f…
The ability to identify future high-cost patients enables providers and individuals to take a proactive approach when managing health status and expenditures. The objectives of this research are twofold. The first main objective is to develop a data-driven approach for determini…
Muslim radicalism is recognized as one of the greatest security threats for the United States and the rest of the world. Use of force to eliminate specific radical entities is ineffective in containing radicalism as a whole. There is a need to understand the origin, ideologies a…
The framework developed in this thesis will help to identify diversion by healthcare providers by mining automated dispensing system transactions and utilizing derived features based on expert opinion. Strategies tested include all features, feature selection, and rule-based cla…
The ability to make predictions about future events is at the heart of much of science; so, it is not surprising that prediction has been a topic of great interest in the data mining community for the last decade. Most of the previous work has attempted to predict the future bas…
Among cerebral disorders, brain aneurysm (BA) is distinguished by tragic and serious neurological complications. The ballooning of brain arteries is a common pathology at all ages and associated with high mortality and morbidity rates. Recent BA related studies in medical and en…
With the growth of information and its ever increasing number of patterns in archiving and storing, the need for systems that can automatically extract useful information is getting more prevalent. Most existing search engines are based on Keywords. The method of structuring and…
30-day hospital readmission have been highlighted as a major contributor to increased costs and poor quality in healthcare. Therefore, healthcare providers, policymakers, and researchers have been searching for ways to reduce the rate of readmission. Improved discharge and trans…
Hospital readmission is a complicated issue and the high readmission rates have attracted great attention to the U.S. healthcare systems. This research proposed a neural-network-based classification approach and the swarm intelligence-based support vector machine (SVM) to identi…
This study explores healthcare coverage disparity using a quantitative analysis on a large dataset from the United States. One of the objectives is to build supervised models including decision tree and neural network to study the efficient factors in healthcare coverage. We als…
Healthcare, among other domains, provides an attractive ground of work for knowledge discovery researchers. There exist several branches of health informatics and health data-mining from which we find actionable knowledge discovery is underserved. Actionable knowledge is best re…