Presented papers written in English and published in the Conference proceedings will be submitted for posting to IEEE Xplore.

Event program

Thursday, 6/2/2016 9:00 AM - 1:00 PM, Fortuna or Pool, Grand hotel Adriatic, Opatija Papers  1. E. Baralis, T. Cerquitelli, S. Chiusano, P. Garza, M. Kavoosifar (Politecnico di Torino, Torino, Italy) Analyzing Air Pollution on the Urban Environment  Air pollution is one of the most important factor that can affect the quality of citizen life in the urban environment. Consequently, monitoring air pollution is currently a critical issue that needs to be addressed for enhancing the well being of citizens. This paper proposes a data analysis engine, based on business intelligence methodologies and open technologies, to support different targeted analysis on air pollution data. To analyse the problem from different facets, air pollution measurements are enriched with additional information such as meteorological and traffic data, which are collected through sensor networks available in the smart city context. This integrated dataset is periodically analyzed to generate informative dashboards based on a selection of Key Performance Indicators (KPIs). The informative dashboards can provide useful insights about pollutant concentration at different time granularity levels in the urban areas and support a joint evaluation of pollutant concentrations with climate conditions and traffic flow. As a reference use case, open data on air pollution in the urban area of a major Italian city is analyzed to demonstrate the effectiveness of the proposed approach in a real smart city context. 2. A. Korobko, L. Nozhenkova (Institute of Computational Modelling of Siberian Branch of Russian Academy of Science, Krasnoyarsk, Russian Federation) Application of Model Driven Architecture for Development of Data Consolidation Web-system  The current state of information technology and Model Driven Development capability allow authors to suggest original approach to development and maintenance of model driven systems, without programming and using external software for domain engineering. Advantages and disadvantages of Model Driven Development usage for data consolidation are described in this article. Modification of model driven architecture in order to provide dynamic reconfiguration of the platform-independent model and content of the model driven system is proposed. The proposed approach is embodied in Scientific Activity Management System for ICM SB RAS and Data Consolidation Web-system for the Center of Emergency Monitoring and Prediction of Krasnoyarsk region. 3. V. Bosilj Vukšić (University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia), L. Brkić, M. Baranović (University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia) Business Process Management Systems Selection Guidelines: Theory and Practice  Nowadays many business process management systems (BPMSs) are available on the market and it is quite difficult to select the appropriate one. This paper presents a set of criteria and proposes guidelines for BPMS selection. The proposal has been developed on the basis of literature overview and the feedback from practical experience in BPM projects. The results of this research are valuable for both academic and business community. From a research perspective, an overview of the state-of-the-art of BPMSs capabilities is given and a set of BPMSs selection criteria is identified. From a perspective of BPM experts, findings from this research will be applicable for both sides BPM systems buyers and BPM systems vendors. 4. M. Sretenović (MI&DA d.o.o., Karlovac, Croatia), B. Kovačić (Odjel za informatiku, Sveučilište u Rijeci, Rijeka, Croatia), V. Jovanović (Georgia Southern University, Statesboro, United States) Organization of Tax Data Warehouse for Legal Entities  Legal entities information systems for tracking tax changes belong to the group of business office information systems, which provide answers to the user requirements on the monitoring of tax changes. By its structure, such information system represents only one segment of the overall legal entities information system, but despite this it has a central role in reporting to the Tax authorities and it represents the link between legal entities and the Tax authorities. This paper describes a model for storing tax data that has been implemented in practical business applications. Furthermore it describes the process of building and organization of the data warehouse and implemented ETL process for the extraction, cleansing and transformation of data in a multidimensional model of tax data warehouses, which is based on the metadata model and model of the set of legal rules. In addition it states a concept and basic methods used in the development of business intelligence systems for the construction and use of a warehouse and it gives guidelines for future development. Model warehouse tax information forms the basis for the execution of various analysis for decision making. Formalizing the process performance analysis directly affects the quality of business intelligence. 5. M. Zekić-Sušac, A. Has (University of J.J. Strossmayer in Osijek, Faculty of Economics in Osijek, Osijek, Croatia) Predictive Analytics in Big Data Platforms – Comparison and Strategies  Predictive analytics include methods that are able to model data for prediction, classification, clustering, and association purposes. In the context of Big Data paradigm, the tools for performing those methods need certain adjustments to address the Big Data volume, velocity, variety, and veracity. The aim of this paper is first to compare the characteristics of several biggest tools for predictive analytics according to their flexibility and adjustability to Big Data platforms such as Hadoop and Spark. The second aim is to suggest strategies for efficient exploatation of business analytics in decision making within a business intelligent system. Both predictive analytics tools and business intelligence systems need adjustments to address new trends in data collection and analyses. The paper also discusses the necessary changes in business intelligent systems regarding their impact to management decision processes. 6. M. Nikitović (College for Information Technologies, VSITE, Zagreb, Croatia), V. Strahonja (University of Zagreb, Faculty of Organization and Informatics, FOI, Varaždin, Croatia) The Analysis of CSFs in Stages of ERP Implementation – Case Study in Small and Medium – sized (SME) Companies in Croatia  This paper elaborates the stages of ERP implementation in terms of critical success factors in small and medium-sized enterprises in Croatia. These stages and their associated success factors were evaluated by company executives, implementation managers and advanced users. The implementation is an extremely critical process especially in small companies which have limited resources, particularly human resources, where some people often have to perform more than one business function. The paper shows that the number of critical success factors of implementation significantly differs in six examined stages and the quantity of critical factors in the stage with the highest number of them is 100% higher than in the stage with the lowest number of them. If we sum up the factors obtained through the stages and compare the result to the global list of critical success factors of implementation – the results differ to a considerable extent. 7. I. Osman, K. Bokulić (Multicom d.o.o., Zagreb, Croatia) Model optimizacije procesa s primjenom na punjenju bankomata  U pristupu optimizaciji procesa sam činitelj obično mora napasti više bitnih čimbenika; od ideje “expert inputa” koja može i u pravilu narušava efektivnost kao i stabilnost sustava pa sve do složenosti samoga procesa u vidu broja varijabli te samoga algoritma tj. pristupa problemu. Naš je pristup ponajprije prikladan kompleksnijim sustavima s mogućnošću izvedbe stabilnih modela predikcije ponašanja. Pristup se temelji na sukladno postavljenim modelima dobivenih prediktivnom analitikom te idejom efektivne usporedbe sustava rješenja samog kompleksnog odabira (optimizacije). S obzirom na spektar rješenja koji prelazi granice mogućnosti komputacije naš pristup koristi i prikladne biheviorističke metode tj. simulira smisleno ponašanje u traženju najboljeg odgovora (rješenja optimizacije) te time višestruko pojednostavljuje izračun koji sam s time postaje i primjenjiv. Takvim pristupom je omogućen “jeftin” dohvat najboljeg smislenog rješenja; koje bi tradicionalnim pristupom u kompleksnim sustavima bilo i nemoguće dobiti. Efikasnost sustava optimizacije je i demonstrirana na primjeni u bankarstvu pri optimizaciji punjenja ATM - uređaja. 8. S. Skansi, B. Dropuljić (IN2data, Zagreb, Croatia) Reciprocal Payers Identification in Banking Logs using SAT Solvers  In this paper we presented solvers for satisfiability testing (SAT) as a novel approach to finding reciprocal payers in banking logs. A term "reciprocal payers" is usually treated as general fraud by using standard techniques such as expert systems, machine learning and in recent times social network analysis. SAT as a technique for data analysis was abandoned due to the unfeasibility of SAT solvers. SAT solvers, however continued to develop in the hardware and software verification communities. We presented a proof-of-concept solution for identification of reciprocal payers (formally called a clique), which is a group of bank clients that issue payments to each other (each member to each member). We do not use real data due to client confidentiality, but the reader can see the principle. In the basic approach it is assumed that each client has only one account, and in the extended, second approach, it was allowed that a client can have more than one account.

Boris Vrdoljak (Croatia), Mirta Baranović (Croatia), Matteo Golfarelli (Italy), Marko Banek (Croatia)

Marko Banek (Croatia), Mirta Baranović (Croatia), Bartosz Bebel (Poland), Ladjel Bellatreche (France), Ljiljana Brkić (Croatia), Alfredo Cuzzocrea (Italy), Dragan Gamberger (Croatia), Paolo Garza (Italy), Matteo Golfarelli (Italy), Igor Mekterović (Croatia), Damir Pintar (Croatia), Zoran Skočir (Croatia), A Min Tjoa (Austria), Mladen Varga (Croatia), Boris Vrdoljak (Croatia)

Boris Vrdoljak
Faculty of Electrical Engineering and Computing
Unska 3
HR-10000 Zagreb, Croatia

Phone: +385 1 6129 532
Fax: +385 1 6129 915
E-mail: boris.vrdoljak@fer.hr

Opatija, with its 170 years long tourist tradition, is the leading seaside resort of the Eastern Adriatic and one of the most famous tourist destinations on the Mediterranean. With its aristocratic architecture and style Opatija has been attracting renowned artists, politicians, kings, scientists, sportsmen as well as business people, bankers, managers for more than 170 years.

The tourist offering of Opatija includes a vast number of hotels, excellent restaurants, entertainment venues, art festivals, superb modern and classical music concerts, beaches and swimming pools and is able to provide the perfect response to all demands.

Opatija, the Queen of the Adriatic, is also one of the most prominent congress cities on the Mediterranean, particularly important for its international ICT conventions MIPRO that have been held in Opatija since 1979 gathering more than a thousand participants from more than forty countries. These conventions promote Opatija as the most desirable technological, business, educational and scientific center in Southeast Europe and the European Union in general.

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