Using Genetic Algorithms for Building Metrics of Collaborative Systems

he paper objective is to reveal the importance of genetic algorithms in building robust metrics of collaborative systems. The main types of collaborative systems in economy are presented and some characteristics of genetic algorithms are described. A genetic algorithm was implemented in order to determine the local maximum and minimum points of the relative complexity function associated to a collaborative banking system. The intelligent collaborative systems based on genetic algorithms, representing the new generation of collaborative systems, are analyzed and the implementation of auto-adaptive interfaces in a banking application is described.Collaborative Systems, Genetic Algorithms, Metrics, Banking, Auto-Adaptive Interfaces

A BANKING COLLABORATIVE TAGGING SYSTEM

The paper presents the collaborative systems classification by field of application. There are described the collaborative tagging systems and an implementation of this kind of systems is analyzed in a commercial bank. The Collaborative Multicash Servicedesk application is presented in order to implement an auto-complete facility.collaborative systems, tagging, auto-complete, banking, application

The Informatics Audit - A Collaborative Process

The paper present issues regarding the audit in informatics field, the audit seen as a collaborative process and how the collaborative banking systems are audited. In this paper, the methodology and techniques for an effective audit process are described. There are highlighted some aspects regarding the assessment of collaborative systems and specific flows of informatics audit.Informatics Audit, Collaborative Process, Collaborative System, Methodology, Banking

A Metrics Approach for Collaborative Systems

This article presents different types of collaborative systems, their structure and classification. This paper defines the concept of virtual campus as a collaborative system. It builds architecture for virtual campus oriented on collaborative training processes. It analyses the quality characteristics of collaborative systems and propose techniques for metrics construction and validation in order to evaluate them. The article analyzes different ways to increase the efficiency and the performance level in collaborative banking systems.collaborative system, collaborative learning, virtual campus, banking, metric

Collaborative Educational Systems in the Virtual Environment

The work leads to an original approach to the construction of collaborative systems metrics. The approach is based both on research already conducted by the author, on the experimental results obtained, and the foundation taken from the specific literature. The collaborative systems in knowledgebased economy are formalized and their characteristics are identified. The virtual campus structure is described and a comparison with the classical university is achieved. The architecture of virtual is designed and the categories of agents in virtual campus are analyzed.

Validation of Metrics for Collaborative Systems

This paper describe the new concepts of collaborative systems metrics validation. The paper define the quality characteristics of collaborative systems. There are proposed a metric to estimate the quality level of collaborative systems. There are performed measurements of collaborative systems quality using a specially designed software.collaborative systems, metrics, quality characteristics, quality indicators

Using Very Large Volume Data Sets for Collaborative Systems Study

This article presents the study requests for collaborative systems, the structure and volume of data necessary for collaborative systems analysis. The paper defines procedures for collecting and validating data. This article identifies algorithms to construct homogeneous collectivities. Calculations are carried out with very large data sets and the results are interpreted.collaborative systems, data sets, metric.

Collaborative Educational Systems

This paper starts describing the key concepts of collaborative systems and the impact of this to educational systems. There are presented the main properties and quality characteristics for the collaborative educational systems. For the main quality characteristic, like portability and complexity are presented different types of indicators for an educational system. The article analyzes different ways to increase the efficiency and the performance level in collaborative educational systems.

EVALUATING DISTRIBUTED COLLABORATIVE SYSTEMS FROM A KNOWLEDGE MANAGEMENT PERSPECTIVE

This paper presents the evaluation of distributed and collaborative systems from the knowledge point of view, the most important asset of these kinds of systems. The paper analyses the quality characteristics of distributed collaborative systems and proposes a metric to evaluate the aspects of knowledge management process.distributed systems, collaborative systems, knowledge management

Modern Solutions For Economic Higher Education In The Knowledge-Based Society

The use of modern solutions specific to contemporary society, together with stakeholders’ involvement, will lead to a substantial increase in the practice-oriented approach of the teaching process. The objective of this paper is to present directions for the implementation of modern teaching solutions in the economic higher education. It highlights the implications that knowledge-based economy brings for the economic higher education. It analyzes the virtual campus as a modern solution for collaborative higher education and the level of knowledge in the use of mobile devices and technologies in the learning process of students from three faculties of the Academy of Economic Studies. The analysis is based on a survey conducted among students enrolled in three faculties of the Bucharest Academy of Economic Studies. A series of indicators is proposed to assess the efficiency of human resources training activities, developed in order to enhance the relevance of economic higher education for the labor market and knowledge-based society. The research results consist in identifying modern solutions for the use of mobile technologies by students in the educational process.knowledge society, higher education, e-learning, m-learning, information technology