Business Intelligence Applications and Data Mining Methods in Telecommunications: A Literature Review

Telecommunication companies are operating today in an extremely challenging business environment. The Telecommunication industry is in possession of large quantities of data, generated from numerous operational systems, and is confronted with many business problems that need urgent handling. Naturally, it has been among the first to adopt Business Intelligence (BI) and Data Mining technologies. The main purpose of this paper is to present a literature review related to BI and Data Mining in Telecommunications, from business perspective - defining the main areas of BI and Data Mining applications, and from research perspective - identifying the most common Data Mining techniques and methods used

Research Phases of University Data Mining Project Development

Educational Data Mining becomes one of the challenging new research fields where data mining methods and tools could help universities in taking timely and data analysis based management decisions, thus contributing to gaining competitive advantages in their successful policy introduction. This paper presents the research activities performed for the implementation of a data mining project initiated in one of the most prestigious Bulgarian universities. The project main goal is to reveal the high potential of data mining applications for university management, referring to the optimal usage of data mining methods and techniques to deeply analyze the collected historical data. That will lead to better understanding the student behavior and building well structured educational process that meets the university policy and supports the management decision making process

Innovative approach to identity management solution development for e-government at EU level, Journal of Telecommunications and Information Technology, 2006, nr 2

This paper presents the main aspects of research, analysis and design of the open identity management architecture for e-government development within GUIDE, a project financed by the 6FP of the EC. The most important identity management issues strongly influencing the European e-government development are briefly discussed. An emphasis is placed on the innovative interdisciplinary approach used in GUIDE, aimed at covering the whole range of technical, process, policy, legal and social identity management issues, and seeking to overcome the existing fragmentation of identity management initiatives. GUIDE brings together the European industrial, financial and technical market leaders in e-government solutions, as well as leading academic institutes of the relevant scientific disciplines. Through its scientific, technological and socio-economic goals GUIDE will contribute towards initiatives that will ultimately deliver multiple benefits to governments, citizens and businesses

E4 Software Framework

E4 collaboration environment is an effective, integrated, easy to understand, user friendly and low cost platform for knowledge management in a SMEE4 collaboration environment is an effective, integrated, easy to understand, user friendly and low cost platform for knowledge management in a SM

FSR Systems for Detection of Air Objects Using Cosmic Radio Emissions

The paper analyses the possibility of Forward Scatter Radar (FSR) systems to detect airplanes using cosmic emission from pulsars and planets (pulsar, Sun, Moon). A suboptimal multichannel algorithm for joint detection and evaluation of the parameters of the forward scattering signal created by an airplane (duration and velocity) is proposed, with preliminary compensation of the powerful direct signal emitted by cosmic sources (pulsar, Sun and Moon). The expressions for calculation of the Signal-to-Noise Ratio (SNR) at the input of the detector and the compensator are obtained. The detection characteristics are also obtained, and the requirements for the suppression coefficient of the compensator are evaluated. A methodology for calculating the maximum distance for detecting an aircraft using a described algorithm is proposed. The obtained results show that due to the Forward Scatter (FS) effect, there is the theoretical possibility to detect airplanes at close ranges by FSRs, which use very weak signals from cosmic sources

Multi-channel target shadow detection in GPS FSR

The paper offers new application of a Multi-channel Forward Scatter Radar (MFSR), which uses GPS signals for detection of air targets on their GPS radio shadows. The multi-channel GPS MFSR detector consists of several channels, which process information from several satellites simultaneously. The phenomena of diffraction in the near area is used for shadow target detection. The target is considered to be detected, if it is detected at least in one of detector channels. Two experiments have been made to verify the proposed detection algorithm. The results obtained show that the proposed multi-channel detection algorithm can be successfully used for detection of low- flying air targets at very short distances or the near area of diffraction. Such targets are undetectable in GPS bistatic radar

Feasibility of Cosmic Object Detection Using a Solar FSR System

The article analyses the possibility of the forward scatter radar method for detecting large-sized cosmic objects when using emission of the Sun as probing signals. The method of the forward scatter radar is based on the phenomenon of a significant increase the bistatic target radar cross section when the probe signal is scattered forward, i.e. along direction of the principal beam of locator pattern