Journal of Information and Organizational Sciences (JIOS)
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Analysis of Text Collections for the Purposes of Keyword Extraction Task
No full textThe article discusses the evaluation of automatic keyword extraction algorithms (AKEA) and points out AKEA’s dependence on the properties of the test collection for effectiveness. As a result, it is difficult to compare different algorithms who’s tests were based on various test datasets. It is also difficult to predict the effectiveness of different systems for solving real-world problems of natural language processing (NLP). We take in to consideration a number of characteristics, such as the text length distribution in words and the method of keyword assignment. Our analysis of publicly available analytical exposition text which is typical for the keywords extraction domain revealed that their length distributions are very regular and described by the lognormal form. Moreover, most of the article lengths range between 400 and 2500 words. Additionally, the paper presents a brief review of eleven corpora that have been used to evaluate AKEA’s
A Novel Rule based Data Mining Approach towards Movie Recommender System
No full textThe proposed research work is an effort to provide accurate movie recommendations to a group of users with the help of a rule-based content-based group recommender system. The whole approach is categorized into 2 phases. In phase 1, a rule- based approach has been proposed which considers the users’ viewing history to provide the Rule Base for every individual user. In phase 2, a novel group recommendation system has been proposed which considers the ratings of the movies as per the rule base generated in phase 1. Phase 2 also considers the weightage of every individual member of the group to provide the accurate movie recommendation to that particular group of users. The results of experimental setup also establish the fact that the proposed system provides more accurate outcomes in terms of precision and recall over other rule learning algorithms such as C4.5
Machine Translation System for the Industry Domain and Croatian Language
No full textMachine translation is increasingly becoming a hot research topic in information and communication sciences, computer science and computational linguistics, due to the fact that it enables communication and transferring of meaning across different languages. As the Croatian language can be considered low-resourced in terms of available services and technology, development of new domain-specific machine translation systems is important, especially due to raised interest and needs of industry, academia and everyday users. Machine translation is not perfect, but it is crucial to assure acceptable quality, which is purpose-dependent. In this research, different statistical machine translation systems were built – but one system utilized domain adaptation in particular, with the intention of boosting the output of machine translation. Afterwards, extensive evaluation has been performed – in form of applying several automatic quality metrics and human evaluation with focus on various aspects. Evaluation is done in order to assess the quality of specific machine-translated text
Identifying Factors Influencing on Agile Practices for Software Development
No full textAgile practices are activities or actions that are utilized during software development to improve the quality and productivity of the resulting software. Those practices are influenced by a set of factors that affect the realization of their objectives. The purpose of this study is to determine the influence of organizational factors and the personnel working on the software development project to the agile practices. To this end, a model has been proposed that is composed of six critical success factors derived from the theories of administrative and human behavior and four groups of agile practices, and resulted in identifying 13 factor-practice relationships. The results from 146 questionnaires addressed to individuals involved in the software development process show that the factors of Confidence, Perception of Self-efficacy, Integrity and Availability of the Information and Experiences Learned, and Media Used all have a noteworthy positive influence on teamwork agile practices
A Review of Selected Aspects of Big Data Usage in Banks’ Risk Management
No full textContemporary banks operate in a changing environment influenced by regulatory requirements, emerging new risk types and high competition on the market. At the same time banks have on their disposal large datasets from internal and external sources – the question arising is whether banks are using adequate analytics to gain value from big data. Big data has been used in banking for some time, mostly in the marketing field, but the usage of big data in banks’ risk management has not been a subject of extensive scientific research. The goals of this paper are twofold. Firstly, the authors are presenting an overview of existing research on the topic of big data usage in banks’ risk management by discussing selected aspects of this topic. Secondly, the authors are formulating a proposal on how to strategically use big data in risk management in banks by merging literature based extracted usage of big data with risk management phases. Expected contributions of this paper are systematization of knowledge from available literature and increasing scientific and professional awareness on the topic and potential of big data in banks’ risk management
A DSDEVS-Based Model for Verifying Structural Constraints in Dynamic Business Processes
No full textThis paper presents a DSDEVS-based model “Dynamic Structure Discrete Event System specification” for modeling and simulating business processes with dynamic structure regarding to different contexts. Consequently, this model, formally, improves the reuse of configurable business processes. Thus, the proposed model allows the analysts to personalize their configurable business processes in a sound manner by verifying a set of structure properties, such as, the lack of synchronization and the deadlock by means of simulation. The implementation was done in DEVS-Suite simulator, which is based on DEVSJAVA models
The Impact of Pair Programming on the Performance of Slow-Paced Students: A Study on Data Structure Courses
No full textA study shows that pair programming can help slow-paced students in completing Introductory Programming assessment. This paper replicates the study on Data Structure course, in which the completion of the assessments does not only rely on logic but also theoretical knowledge. The aim is to check whether pair programming is still helpful on such new assessment characteristics. Three classes of Data Structure course with 14 teaching weeks and a total of 72 undergraduate students are considered in this study. Two of the classes are about Basic Data Structure while another one is the advanced one. Our evaluation shows that pair programming can help slow-paced students in both pair and individual academic performance. It also increases overall academic performance if the tasks are more logic oriented. Nevertheless, no benefits provided for fast-paced students paired to the slow-paced ones, even though all students appreciate the use of pair programming
The Effects of Turnover on Expert Effort Estimation
No full textTurnover of the personnel represents a serious issue for management of software projects. The buildup of competences and phasing in of the people into the project requires both time and effort. This paper presents a case study of a large in-house agile software development project. The research goal was to determine the effects that turnover has on the expert effort estimation. In order to do this, paper examines relations across empirical data on a studied project. Study findings are the following: a) it is necessary to distinguish types of turnover, b) the general and planned turnover do not necessarily have a negative effect on estimation accuracy, and c) the unplanned turnover can have a significant negative impact on the reliability of the estimates and therefore should be treated with special attention. Results suggest that these facts should be taken into account both by the management and human resources
A Cloud Solution for Securing Medical Image Storage
No full textCloud computing is an easy-to-use, affordable solution to manage and analyze medical data. Therefore, this paradigm has gained wide acceptance in the healthcare sector as a cost-efficient way for a successful Electronic Medical Records (EMR) implementation. Cloud technology is, however, subject to increasing criticism because of the numerous security vulnerabilities. In this regard, we propose a framework to protect confidential data through the development of new security measures, including compression, secret share scheme and XOR operation. The primary objective of the proposal is to achieve the right balance between security and usability. To this aim, we divide an image into several blocks and then encrypt each piece separately with different cryptographic keys. To enhance privacy and performance, we suggest DepSky architecture to keep data on various storage nodes. Simulation experiments have been conducted to prove the effectiveness of the proposed methodology
Development of a Models of Interpersonal Competencies as a Complex System
No full textCompetencies represent a dynamic combination of cognitive and metacognitive skills, knowledge and understanding, interpersonal and practical skills, and ethical values. Sincethere are many entities, as well as many activities between entities, according to system theory, the whole system belongs to complex systems. The paper develops a conceptual and computational model of interpersonal competences for the process of optimization and methodology design, using simulation modeling. The developed model enables: faster data collection, more accurate results, avoiding human error in data entry and processing, survey time can be measured and more easily restricted, NMAR (Not Missing at Random) data is avoided and socially desirable responses are more easily avoided