German University in Cairo

About: German University in Cairo is a education organization based out in Cairo, Egypt. It is known for research contribution in the topics: Antenna (radio) & Encryption. The organization has 1525 authors who have published 2240 publications receiving 22111 citations. The organization is also known as: GUC.

Enhancing one-class support vector machines for unsupervised anomaly detection

Abstract: Support Vector Machines (SVMs) have been one of the most successful machine learning techniques for the past decade. For anomaly detection, also a semi-supervised variant, the one-class SVM, exists. Here, only normal data is required for training before anomalies can be detected. In theory, the one-class SVM could also be used in an unsupervised anomaly detection setup, where no prior training is conducted. Unfortunately, it turns out that a one-class SVM is sensitive to outliers in the data. In this work, we apply two modifications in order to make one-class SVMs more suitable for unsupervised anomaly detection: Robust one-class SVMs and eta one-class SVMs. The key idea of both modifications is, that outliers should contribute less to the decision boundary as normal instances. Experiments performed on datasets from UCI machine learning repository show that our modifications are very promising: Comparing with other standard unsupervised anomaly detection algorithms, the enhanced one-class SVMs are superior on two out of four datasets. In particular, the proposed eta one-class SVM has shown the most promising results.

E-Government Integration and Interoperability: Framing the Research Agenda

Abstract: Among the defining purposes of e-Government, highly agile, citizen-centric, accountable, transparent, effective, and efficient government operations and services have high rank. For reaching these goals, the integration of government information resources and processes, and ultimately, the interoperation of independent e-Government information systems appears essential. Yet, most integration and interoperation efforts meet serious challenges and constraints. This article contributes to the development of a research framework on integration and system interoperation in e-Government. We propose future research projects to study the foci and purposes, limitations and constraints, as well as processes and outcomes of integration and interoperation in electronic Government. For so doing, we suggest needs-and-wants theory as one promising theoretical lens (among others) for guiding that effort.

Update on melatonin receptors: IUPHAR Review 20.

Abstract: Melatonin receptors are seven transmembrane-spanning proteins belonging to the G protein-coupled receptor super-family. In mammals, two melatonin receptor subtypes exit MT1 and MT2 encoded by the MTNR1A and MTNR1B genes, respectively. The current review provides an update on melatonin receptors by the corresponding sub-committee of the International Union of Basic and Clinical Pharmacology. We will highlight recent developments of melatonin receptor ligands, including radioligands and give an update on the latest phenotyping results of melatonin receptor knockout mice. The current status and perspectives of the structure of melatonin receptor structures will be summarized. The physiological importance of melatonin receptor dimers and biologically important and type 2 diabetes-associated genetic variants of melatonin receptors will be discussed. The role of melatonin receptors in physiology and disease will be further exemplified by its functions in the immune system and the central nervous system. Finally, antioxidant and free radical scavenger properties of melatonin and its relation to melatonin receptors will be critically addressed.

Big Data Analytics: A Literature Review Paper

Abstract: . In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets. Furthermore, decision makers need to be able to gain valuable insights from such varied and rapidly changing data, ranging from daily transactions to customer interactions and social network da-ta. Such value can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper aims to analyze some of the different analytics methods and tools which can be applied to big data, as well as the opportunities provided by the application of big data analytics in various decision domains. Keywords: big data, data mining, analytics, decision making.