Iskanje po katalogu digitalne knjižnice

Opis: The increasing number of network-shaped domains calls for the use of graph database technology, where there are continuous efforts to develop mechanisms to address domain challenges. Relationships as 'first-class citizens' in graph databases can play an important role in studying the structural and behavioural characteristics of the domain. In this dissertation, we focus on studying the cardinality constraints mechanism, which also exploits the edges of the underlying property graph. The results of our literature review indicate an obvious research gap when it comes to concepts and approaches for specifying and representing complex cardinality constraints for graph databases validated in practice. To address this gap, we present a novel and comprehensive approach called the k-vertex cardinality constraints model for enforcing higher-order cardinality constraints rules on edges, which capture domain-related business rules of varying complexity. In our formal k-vertex cardinality constraint concept definition, we go beyond simple patterns formed between two nodes and employ more complex structures such as hypernodes, which consist of nodes connected by edges. We formally introduce the concept of k-vertex cardinality constraints and their properties as well as the property graph-based model used for their representation. Our k-vertex model includes the k-vertex cardinality constraint specification by following a pre-defined syntax followed by a visual representation through a property graph-based data model and a set of algorithms for the implementation of basic operations relevant for working with k-vertex cardinality constraints. In the practical part of the dissertation, we evaluate the applicability of the k-vertex model on use cases by carrying two separate case studies where we present how the model can be implemented on fraud detection and data classification use cases. We build a set of relevant k-vertex cardinality constraints based on real data and explain how each step of our approach is to be done. The results obtained from the case studies prove that the k-vertex model is entirely suitable to represent complex business rules as cardinality constraints and can be used to enforce these cardinality constraints in real-world business scenarios. Next, we analyze the performance efficiency of our model on inserting new edges into graph databases with varying number of edges and outgoing node degree and compare it against the case when there is no cardinality constraints checking. The results of the statistical analysis confirm a stable performance of the k-vertex model on varying datasets when compared against a case with no cardinality constraints checking. The k-vertex model shows no significant performance effect on property graphs with varying complexity and it is able to serve as a cardinality constraints enforcement mechanism without large effects on the database performance.
Ključne besede: Graph database, K-vertex cardinality constraint, Cardinality, Business rule, Property graph data model, Property graph schema, Hypernode, Performance analysis, Fraud detection, Data classification
Objavljeno v DKUM: 10.08.2022; Ogledov: 771; Prenosov: 103
Celotno besedilo (3,43 MB)

Opis: The literature of organizational structure design is relatively rich along with conceptual and complex patterns. This complexity arising from the number of elements and numerous relations in addition to the nature of variables. Thereby, the lack of operational decision-making models is felt to propose adequate structural designs in practice. In this article, the researchers employ a fuzzy multi attribute decision making model (FMADM) to select the most suitable organizational structure based on expert’s judgments and by deploying contextual dimensions of the organization. Since the organizational changes especially in the structural levels are along with resistances among involved staffs, the implementation of this model is a supportive tool in addition to help the managers to make a qualified decision and change.
Ključne besede: organizational structure designing, business process reengineering, development management, integration, fuzzy ahpimage analysis, probabilistic modeling, signal processing, license plate recognition
Objavljeno v DKUM: 28.11.2017; Ogledov: 1461; Prenosov: 376
Celotno besedilo (576,00 KB)
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Opis: The development and usage of information and communication technologies (ICTs) has particularly increased in the last two decades, while at the same time showing great potential to improve the efficacy of business processes, facilitate and drive innovations, and therefore increase competitiveness. Innovation activities represent an important factor for social and economic change as well as for increasing competitive advantages at both the national and firm levels. This paper focuses on the role that ICTs play in the innovation performance of selected European countries. Using data drawn from the Eurostat and Global Competitiveness Index (2007–2011) and panel regression analysis, research results indicate that ICTs have a significant impact on business innovation activities.
Ključne besede: information and communication technology, innovation, business sophistication, competitiveness, European countries, regression analysis
Objavljeno v DKUM: 13.11.2017; Ogledov: 1399; Prenosov: 222
Celotno besedilo (322,46 KB)
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Opis: Observatory provides an overview and analysis of the current situation in small and medium-sized enterprises in 2001. The situation in Slovenia was compared to that of SMEs in the European Union. In doing this, data gathered in the Observatory of European SMEs has been used, together with its basic methodology, which consists of three areas: standard topics included in the report every year, special in-depth studies chosen each year, and various other topics that may vary through time or represent a supplement to the existing relevant topics. The publication provides a standard review of Slovenian entrepreneurship in 2001 and a detailed description of tax incentives, administrative burdens for small and medium-sized enterprises in the area of recruitment and social responsibility of SMEs. The survey that was carried out was based on 1,153 analyzed responses, which were acquired by sending out 8,176 questionnaires. Study show that Slovenian small and medium-sized enterprises are more often involved in responsible social activities than European one, but also that almost half of small enterprises do not invest in research and development. Our research has also shown high administrative burdens faced by SMEs.
Ključne besede: Entrepreneurship, Business demography, Comparative analysis, Small and Medium-sized enterprises, Social responsibility, Administrative burdens
Objavljeno v DKUM: 18.01.2017; Ogledov: 1492; Prenosov: 195
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Opis: Technical terminology, which comprises individual words and various kinds of more or less fixed word partnerships, constitutes an important part of professional discourse. A good command of domain specific collocations adds to the proficiency in specialist communication in any domain, including commerce. The aim of this paper is to present the findings of a corpus-based study of the most common collocations of 16 high-frequency nouns in 'standard terms and conditions of sale' as authentic, commerce-related documents. Our research shows that the most frequent nouns form a substantial number of significant collocations which can be considered technical terminology in the field of commerce. In turn, these findings can be used as the basis for designing teaching syllabi and teaching materials for courses in English for commerce and trade.
Ključne besede: business English, technical terminology, ‘standard terms and conditions of sale’, corpus analysis, collocations, teaching
Objavljeno v DKUM: 10.07.2015; Ogledov: 1477; Prenosov: 78
Celotno besedilo (141,02 KB)
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