Anomaly detection is the process of finding outlying record from a given data set. This problem has been of increasing importance due to the increase in the size of the data and the need to efficiently extract those outlying records that can have important indications in real-life problems. Anomaly detection is applied in many different sectors. There are many approaches to solve the anomaly detection problem. However, those that are more widely applicable are unsupervised approaches as they do not require labeled data. The aim of this thesis is to study a well-known anomaly detection technique ...

The aim of this thesis is to study the impact of a three-year-study of computer science at Notre Dame University on the students’ academic performances. For this reason, the GPAs of the students after their first year of study were compared with their GPAs upon graduation. To perform this, a Decision Tree, as well as Neural Networks were used. These algorithms helped us to predict the final GPA based on the first two semesters’ GPA. In addition, the most decisive courses on the student GPA were identified. For this reason, Relief algorithm was used to identify the three most important courses ...

The aim of data mining as a scientific research is developing methods to analyze large amounts of data in order to discover interesting regularities or exceptions. Typical problems, which should be resolved during developing effective data mining algorithms, arise from the large sizes of both: The data sets used in the data mining process and the patterns results sets (for example in rules) which form discovered knowledge. Scientific researchers are oriented to find the most advantageous (i.e. most effective) solutions both during the data preparation stage and exploration and finally post- ...

In this thesis, automatic segmentation of liver veins from ultrasound slices is implemented and further rendered into 3D image to assist the medical doctor to more accurately apply any study intended on the liver. The main part of this study is the texture analysis since it is the hardest problem in common. As a start, 4 different techniques in texture analysis have been introduced, the Spatial Gray-level Dependence Matrices (SGLDM), The Fourier Power Spectrum (FPS), The Gray- Level Difference Statistics (GLD), and Law's Texture Energy Measure (TEM). Each of these methods have been discussed ...

This thesis aim is defining a new meaning for microprogramming as we know it. Microprogramming was seen from two different views. In commercial applications microprogramming was treated primarily as an emulation tool. This allowed systems such as the IMB system/386 to implement both backward and forward compatibility. In military applications microprograming was considered as a tool for building optimized and fault tolerance control units. Dynamic and user microprogramming are usually used to refer to the same concept. In this thesis we will make a clear distinction between the two terms. User ...

Retail space planning is an accurate and complex process affecting the overall performance of a retail environment. Such task, confronting large retailers consisting of huge malls and hypermarkets, appears infinite in the absence of a complete automated process, starting from the store plan generation, passing by the optimal product assortment and finishing with the product-to-shelf allocation problem. Moreover, the ever-changing factors affecting the retail space planning process, such as merchandising rules, competitive strategies and consumer behavior require continuous follow-up and optimization ...

Over the last few years, LAN technologies have been driven by the need to support an increasing number of users as well as bandwidth intensive applications. As new and existing network applications evolve to embrace high-resolution graphics, video and other rich media types, pressure is growing at the desktop, the server, the hub and the switch for increased bandwidth. All this has led to new network protocols needed to support the amount of information required. In this thesis, we will briefly review conventional networking protocols and internetworking devices. Then we present a table comparing ...

Student academic advising is an educational decision support process required nowadays to be automated for both the student and advisor to speed up the planning process of course registration by finding out the optimal sequencing or prioritization of students degree requirements to enroll in for next semesters based on their academic standing in a way that suits students’ interests and meets overall graduation requirements within a time frame. This thesis integrated all the rules and constraints from all precedent references relevant to this subject that impacts the scheduling process and proposed ...

Cloud computing ecosystem is one of the trends currently being discussed in the domain of information technology and computing. Computing ecosystem allows smart usage of technology which means unneeded resources are saved such as power, computing resources, spaces for datacenters as well as saving huge amount of CO2 and electric circuit boards and machines. Cloud federation and its underlying techniques, is considered role model in sharing and expanding cloud business to provide better and cheaper services for end-users. In this thesis, we will survey and compare existing Identity Access Management ...

The purpose of this thesis is to plan, design, and implement a real and complete lifetime solution for many applications to provide developers and designers with a strong and a good pattern for future development. We have developed a well structured solution, which is basically meant for helping anyone who is involved in the software development cycle in (i) separating the layers, as well as (ii) shortening the development time of the user interface layer, and (iii) controlling the flow of these interfaces. Not to forget (iv) helping the developer with the creation of the data entities, this ...