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Sociocultural change of the millennium reflects significantly the massive onset and impact of information and communication technologies on lives of individuals and the human community. The teaching and learning in a virtual learning environment raises questions connected with the potentials and limits of communication with regard to axioms of communication (Watzlawick). The paper presents the results...
Recommender systems represent user preferences for items that the user might be interested to view or purchase. These systems have become extremely common in electronic commerce, providing relevant suggestions and directing users towards those items that best meet their needs and preferences. Different techniques have been analysed including content-based, collaborative and hybrid approaches. The...
In XML databases, several works have dealt with changes of basic components of XML Schemas: element and attribute declarations, simple types, and complex type definitions. However, there is no work that has dealt with changes to advanced concepts of XML Schemas like XML namespaces, local/global qualified/unqualified declarations, and schema definition styles. In this paper, we deal with XML namespace...
In sharing information for the research support at university laboratories, not only the research documents including references, seminar documents, research data, and articles but also the context information including the process of the research activities that have been conducted and the relations between the research documents are important. In this study, both research documents and context information...
Collaborative exploration is one of the essential factors in advanced intellectual activities such as group work in project-based learning (PBL) and research work. Skillful sharing of the intentions of search and their results is quite important to enable collaborative exploration to be smoothly conducted. However, such sharing is usually difficult for members since they often face difficulties in...
This paper describes a business-oriented analysis environment facilitating analyses of coherent data from Data Warehouses (DWs) and Linked Open Data (LOD) datasets. Specifically, we present a multidimensional modeling solution, named Unified Cube, which provides a single, comprehensive representation of data from multiple sources. Unified Cubes include both concepts close to business terms and user-friendly...
There has been lots of discussions about the choice of a stream processing framework (SPF) for Big Data. Each of the SPFs has different cutting edge technologies in their steps of processing the data in motion that gives them a better advantage over the others. Even though, the cutting edge technologies used in each stream processing framework might better them, it is still hard to say which framework...
Class imbalance is a common problem in defect prediction data sets. In order to cope with this problem, over-sampling and under sampling methods are employed. However, these methods are designed for instance based alteration and not specialized for feature space. Also there is not any distinctive approach to cope with class imbalance in defect prediction data sets. We develop HSDD (hybrid sampling...
Nowadays the use of ICT and especially online teaching became common part of education. Also at our Faculty we have been using ICT for many years. The first online courses of German we created in 2003 and we have been continuously improving and developing them since that time. After several years of validation of courses that we created, we tried a small study, to demonstrate how effective the use...
In spite of the improvement brought by recent research on load balancing in video on demand (VOD) system, it still as an actuality problem. In this paper we propose a payoff-based dynamic segment replication policy called P-DSR which instead of replicating the entire video file, it divides it into several segments then selects the segments with the highest payoff which can rebalance load faster and...
The massive amounts of data processed in modern computational systems is becoming a problem of increasing importance. This data is commonly stored directly or indirectly through the use of data exchange languages, such as JavaScript Object Notation (JSON), for human-readable platform agnostic access. This paper focuses on describing and analyzing SJSON, a library that explores succinct representations...
The popularity of community question answer (CQA) forums like Stack Overflow, Yahoo Answers and Quora is increasing tremendously with thousands of questions being posted each day and about thrice the number of responses being provided. With such query explosion, users participating in these forums receive a huge number of postings that adversely affects their responsiveness and also the quality of...
Preserving news stories may be important because of various reasons like they provide detailed information about events and they may be used for research purposes in the long term. However, the news stories published online are in danger because of reasons like constant change in the technologies used to publish information and the formats for publication. Certain institutions or individuals may be...
With the wide availability of GPS devices in our lives, massive amounts of object movement data have been collected from various moving object targets, such as mobile devices, animals, and vehicles. In the last decade, Moving Object Databases (MOD) have attracted many researchers. Analyzing such data has deep implications in many areas, such as ecological study and traffic control. In this study,...
Fast Data is a new Big Data computing paradigm that ensures requirements such as Real-Time processing of continuous data stream, storage at high rates and low latency with no data losses. In this work we propose a “Fast Data” architecture for a specific kind of software application in which input data arrive very fast and the results for each processed data have to match such input rates. We applied...
In Service-Oriented Architecture (SOA), behaviour of a business process is specified using Business Process Execution Language (BPEL) which is a XML based language. In today's competitive market, enterprises change their business processes frequently. Changes in BPEL process may affect the quality of BPEL process for the consumer. It is desirable to measure and evaluate the BPEL process quality when...
In this study we develop a simplified technique for identifying prominent voices (and characterizing prevalent discourses) using Text Data Mining around Corporate Social Responsibility (CSR) issues or topics. We do this by analyzing a corpus of CSR reports produced by 7 US firms (Citi, Coca-Cola, Exxon-Mobil, General Motors, Intel, McDonald's and Microsoft) in 2004, 2008 and 2012, and focusing on...
This paper describes the construction of a system that uses information from several home automation devices, to detect the presence of a person in the space where the devices are located. The detection however doesn't rely on the information of devices that explicitly detect human presence, like motion detectors or smart cameras. The information used is the one available in the Muzzley system, which...
Data stream is relatively new and emerging domain in the current era of Internet advancement. Clustering data streams is equally important and difficult because of the numerous hurdles attached to it. A number of algorithms have been proposed to offer solutions for efficient clustering. Grid-based clustering approach was adopted few years ago to overcome the limitations of conventional partition-based...
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