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The key challenge in text classification techniques is the overall performance. In this paper we discuss the need of using parallel/distributed data mining algorithms for text classification. Three classification algorithms: k-NN Classifier, Centroid Classifier and Naive Bayes Classifier are considered. As data is growing the need of Hadoop, Map Reduce and Spark models is more important in data science...
Detection of underground objects remains an important task today, particularly when attempting to recover landmines. A Ground Penetrating Radar (GPR) sends short pulses in time domain to detect underground objects by recording the reflected signal and analyzing its properties. GPR traces acquired at different positions in space are combined together to form B-scan images. The presence of objects produce...
Deep architectures with convolution structure have been found highly effective and commonly used in computer vision. With the introduction of Graphics Processing Unit (GPU) for general purpose issues, there has been an increasing attention towards exploiting GPU processing power for deep learning algorithms. Also, large amount of data online has made possible to train deep neural networks efficiently...
South East European University (SEEU) is moving towards the use of Information, Communication and Technology (ICT) to meet the needs of the studies that has been implemented since its foundation. However, the resources and lecturer skills in developing their classroom instruction has caused the learning culture to remain unchanged, especially in master courses. The purpose of this study is to understand...
The paper introduce, explains and presents the results obtained with the children prediction tool available through the specialized social network www.emama.mk. The inspiration behind the development of this system is to extend knowledge about the children diseases and their symptoms in a very simple and understandable way. The whole research presents summary of half decade successful work in which...
This paper analyzes the most useful and popular classification algorithms used by the Machine Learning systems, particularly in the artificial intelligent systems. It is focused on the practical applying of classification algorithms, in all three different dataset used throughout this paper. The results of the paper show which algorithm is more convenient for a particular dataset. The common analysis...
Integrating or creating new applications (services), using existing data involves changing existing applications (services). For better usage, there is a need to export data as basic services (SOA approach). Representational State Transfer (REST) works with resources instead of operations, offering full web-scale interoperability and scalability advantages while exchanging information between applications...
Cloud environment offers a great possibility in computing, it is immensely helpful to all parties, enables quick access to data and space usage is based on the needs. In this context public data is exposed to other parties for different purposes but private data must be protected when used in different operations in order to have a secure environment. The aim of this work is to provide a logical view...
The data collected based on the electricity stream in a PowerSystem could be very useful information for electricity companies. This information is related to the electrical demand of the customers. The aim of this paper is to analyze and to detect the trend of electrical load consume from the customers in an area. This is achieved using the statistical approach on the data collected from the meter...
In the last ten years, the online world has changed dramatically. Social media sites continue to grow in popularity. Every day, many people are spending countless hours immersed in social media. Many researchers have been diving into a considerable amount of research on social media influences. In this paper are presented and analyzed the results from surveyed data collected from one year experience...
At the beginning of the new century, we started with an educational project aimed at the joint development and shared use of teaching materials for software engineering education. The aim was to transfer knowledge, as well as to save expenses. Over the years, our cooperation did not only cover the development of the course, but also its delivery, e.g. by guest lecturing. This paper reports on the...
Service integration in Cloud computing reusing existing services nowadays presents a very important research problem. It is presented during different software's and application implementations and the idea comes for something new, innovative, and contemporary, enabling several services to be integrated and by providing stable, decentralized and just in time services. In SEE University there are different...
Considering that Cloud Computing is changing the way applications and infrastructure is developed and accessed in different areas, universities also can take advantage of these models in terms of efficiency, reliability, portability, flexibility, which have been a challenging concern for cloud computing. This paper presents a cloud computing based solution for building a virtual and personal learning...
Developing teaching materials is a time-consuming and expensive activity. Thus, over the years, several consortia have created joint materials to benefit from them. It is expected that shared teaching materials are a means to save effort in its development, to transfer methodological and technical knowledge between different university staff, and to exchange experience in practical application. However,...
In recent years, the term of social network has become a very interesting field for research. It requires a specific approach in order to research what happened on behind of social network. This goal is based on scientific analysis, typically on measurements that are defined on 60's and the today's developed methods. Measurements and relations between them will be analyzed, using the modern software...
The analysis of climatic parameters, vegetation, humidity and pollution in the domain of time and space is done by processing a series of images of a geographic area taken by the satellite at certain times [1]. These images are subject to several computing schemes, with the aim of evaluating spatial and temporal variations of the mentioned parameters. One of the programs used to manipulate the images...
The global market of mobile payment is set to increase significantly in the following years. As a report from KPMG describes the total market until 2015 is estimated around 1 trillion USD dollars [1], as this will be driven by the increasing demand to shop in environments that are always on, fast and always accessible. The main battles around it are drawn security, infrastructure and also the interoperability...
Proposed methodology aims at processing of remote sensing images of a single area taken in different times. The suite of images represents a 3D data array structure. Images can be produced combining different bands in order to obtain a space-time representation of environmental parameters as vegetation index, humidity, pollution, temperatures etc. We have experimented calculation of trend polynomials...
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