The aim of this paper is a presentation of data mining model that could be used for the measurement of current and forecasting of the future customer profitability. The purpose of this model is to forecast activities of individual customers in the future, and to value that company could expect in doing business with them. Modern customer profitability analysis shows that product cost is just one part of the relation enterprise-customer. A general framework for defining customer profitability, besides pure financial items, has to include a lot of non-linear and non-financial elements. Data mining methods do not use conventional learning methods that suffer from imperfections such as inability to explicitly transfer the knowledge from experts to machines or nonexistence of experts' will for knowledge transfer. Data mining can identify and adopt patterns and rules that exist in historical data stored in databases and/or data warehouses. It can work equally well with nonlinear and nonfinancial elements of environment which have influence on profitability results. Neural networks approved their capability for approximate description of any continuous function. Together with robust methods of genetic algorithms used in the learning process of networks, they make a good choice in the process of selecting methods for forecasting customer profitability. The proposed model for the forecasting of the customer profitability uses two data mining methods: neural networks and genetic algorithm. The paper presents results of empirical research related to forecasting of customer determination to specific segment made in a company which produces and distributes products like dry fruits, nuts, seeds and cereals for the market of South-East Europe.

The paper presents results of research related to perception of creativity in higher education made by the authors at the University of Mostar from Bosnia and Herzegovina. This research was based on a survey conducted among teachers and students at the University. The authors developed two types of questionnaires, one for teachers and the other for students in order to investigate the perception about creativity at the University. Namely, the idea that higher education has key role in development of knowledge-based society and economy has been in the very heart of Bologna process – the overall reform of the higher education in European Union. Also, many official European Union documents identified creativity as a major driving force towards knowledge creation and social and economic advancement through the development of a knowledge society. But, the complex questions of knowledge-based society and economy could not be solved without creative, forward-looking individuals and groups who are not afraid to question established ideas and who are able to cope with the insecurity and uncertainty this entails. If today's universities, including University of Mostar, would not succeed in strengthening creativity of teaching process and education of their teachers and students, development of knowledge society could be at stake. The University of Mostar has been started with implementation of the main postulates of Bologna process since 2005. Almost ten years later, the authors wanted to examine if teachers and students of the University of Mostar are aware of the importance of creativity in higher education for development of knowledge society. That was the main reason why the authors started with research related to perception of creativity at the University of Mostar. The aim of this research was to investigate the awareness of teachers and students of the University related to the necessity to enhance creativity within and by academic community.

The aim of this work is to investigate the influence of gender on recovery after cerebral stroke.It is believed that functional outcome of cerebral stroke (CS) depends on gender. Female gender is mildly negative prognostic factor in after stroke results. Two hundred and two patients who had first ischemic cerebral stroke were questioned with help of, HADS and WHOQOL-Bref questionnaires, looking for differences in recovery depending on gender. Average patients' age was 72+/-13 (ME+/-IR) years. The youngest patient had 40 years, and the oldest 92 years, and medium range was 52 years. There were 112 males and 90 females. Quality of life was equally graded by both male and female after CS (p=0.208). Male patients had significantly better results in physical (p=0.035) and psychological (p=0.020) domain of life quality. After CS, male patients had better results only in memory dimension (p=0.003). Anxiety was statistically more frequent among female patients (p=0.009). Gender did not influence frequency of metabolic syndrome in patients with CS. Quality of life after CS was better in male patients, and statistically significant difference has been shown in physical, psychological domain and memory dimension. Female patients were more anxious then male after CS.