Database Systems Journal

ISSN 2069 - 3230

The journal is published under the sponsorship of
The Bucharest University of Economic Studies
and it is produced by the university's own publishing division,
The Bucharest University of Economic Studies Publishing House


Database Systems Journal, Vol. V, Issue 3/2014
Issue Topic: Data Mining


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CONTENTS


1. Labeling Consequents of Fuzzy Rules Constructed by Using Heuristic Algorithms of Possibilistic Clustering (p. 3-13)
Dmitri A. VIATTCHENIN, Belarusian State University of Informatics and Radio-Electronics, Minsk, Belarus
Stanislau SHYRAI, Belarusian State University of Informatics and Radio-Electronics, Minsk, Belarus
Aliaksandr DAMARATSKI, United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Minsk, Belarus
The paper deals with the problem of automatic labeling output variables in Mamdani-type fuzzy rules generated by using heuristic algorithms of possibilistic clustering. The labeling problem in fuzzy clustering and basic concepts the heuristic approach to possibilistic clustering are considered in brief. Labeling consequents procedure is proposed. Experimental results are presented shortly and some preliminary conclusions are made.
Keywords: Data Mining, Clustering, Fuzzy Rule, Consequent, Labeling.
2. BI solutions for modern management of organizations - Cognos (p. 14-22)
Ruxandra OPREA, University of Economic Studies, Bucharest, Romania
Ionut LACATUS, University of Economic Studies, Bucharest, Romania
Catalin HUTANU, University of Economic Studies, Bucharest, Romania
Business Intelligence has evolved in the last decade increasingly relying on real-time data. Business analysis has become essential. This involves actions in response to results analysis and instant change of business processes parameters making BI beneficial for several reasons.
Keywords: Business Intelligence, Performance Management, Cognos.
3. Business Intelligence overview (p. 23-36)
Dragos AGIU, University of Economic Studies, Bucharest, Romania
Vlad MATEESCU, University of Economic Studies, Bucharest, Romania
Iulia MUNTEAN, University of Economic Studies, Bucharest, Romania
The need for information has always been present, but what defines the present time is the big amount of data available everywhere and the need to have all the answers we need in a very short time. Because of the agglomeration of markets and the dynamics of economic environment, the ability to collect data and turn it into useful information for decisional process may be the element which makes the difference. Thus, the term of "business intelligence" was first introduced by Gartner Group in the mid of 90's, but it still exists since the 70's, when the reporting systems were static, two dimensional, with no analytical skills.
Keywords: Business Intelligence, management, Data Mining, CRM, ERP.
4. Comparative study on software development methodologies (p. 37-56)
Mihai Liviu DESPA, University of Economic Studies, Bucharest, Romania
This paper focuses on the current state of knowledge in the field of software development methodologies. It aims to set the stage for the formalization of a software development methodology dedicated to innovation orientated IT projects. The paper starts by depicting specific characteristics in software development project management. Managing software development projects involves techniques and skills that are proprietary to the IT industry. Also the software development project manager handles challenges and risks that are predominantly encountered in business and research areas that involve state of the art technology. Conventional software development stages are defined and briefly described. Development stages are the building blocks of any software development methodology so it is important to properly research this aspect. Current software development methodologies are presented. Development stages are defined for every showcased methodology. For each methodology a graphic representation is illustrated in order to better individualize its structure. Software development methodologies are compared by highlighting strengths and weaknesses from the stakeholder's point of view. Conclusions are formulated and a research direction aimed at formalizing a software development methodology dedicated to innovation orientated IT projects is enunciated.
Keywords: Software development, Project management, Development methodology.
5. Social BI. Trends and development needs (p. 57-63)
Corneliu Mihai PREDA, University of Economic Studies, Bucharest, Romania
This paper tries to show that the need to implement BI solutions that integrate social networks data is increasingly more acute. Companies need to understand that efficient decision making has to take into account the importance that social medial has nowadays. In addition, the software developing companies have to keep up to date with new trends generated within these communication channels and adapt their solutions to this dynamic environment.
Keywords: Business Intelligence, Social Network, Social BI, Market Trends.