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Invited Paper
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L. Bellatreche (LIAS/ISAE-ENSMA, Futuroscope Chasseneuil cedex, France), S. Bress (University of Magdeburg, Magdeburg, Germany), A. Kerkad, A. Boukorca, C. Salmi (LIAS/ISAE-ENSMA, Futuroscope Chasseneuil cedex, France)
The Generalized Physical Design Problem in Data Warehousing Environment: Towards a Generic Cost Model 
Over the years, plenty of cost models for physical database design were developed. However, solving the physical design problem in a generic way is still a hard task.
In this paper, we (1) summarize the development stages of cost models for database systems, (2) propose a generic cost model for the generalized physical design problem, and (3) apply our model on the joint query scheduling and buffer management problem.
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Accepted Papers
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D. Gamberger, D. Lučanin, T. Šmuc (Institut "Ruđer Bošković", Zagreb, Croatia)
Analysis of World Bank Indicators for Countries with Banking Crises by Subgroup Discovery Induction
The paper presents results of the analysis of countries that experienced banking crises in the period 1976-2011. The analysed data are World Bank indicators in the periods before the onset of the crises. The work is done as part of the EU FP7 project “Forecasting Financial Crises”. For the analysis we have used the subgroup discovery methodology which is especially useful when it may be expected that there exist different subtypes of the main concept and that different, sometimes even contradictory properties may be characteristic for these subtypes. The work presents the data preparation process and the application of Data Mining Server for subgroup discovery induction. The applied methodology may be useful also for other applications in business and marketing domains. The main result is detection of five subsets of countries with banking crises. Three of them may be recognized as financially driven types of banking crises while significant socioeconomic problems are characteristic for the remaining two subgroups.
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M. Gulić (Pomorski fakultet u Rijeci, Rijeka, Croatia)
Transformation of OWL Ontology Sources into Data Warehouse
The Semantic Web, as the extension of the traditional Web, provides the semantic annotations of the information generated by different organizations. Semantic annotations are stored within ontologies. Ontologies are expressed using ontology language. Web Ontology Language (OWL) is one of the most popular ontology languages. Until today, the universally accepted definition of ontologies does not exist. As a result of the increasing use of ontologies, large quantity of complex, heterogeneous and semi-structured semantic data sources exists. There is plenty of useful information in these data sources that can be analyzed and used in the decision making process of an organization. In order to facilitate the analysis of semantic data, new data warehouse tools that support semantic data analysis must be made. Data warehouse are used in traditional business analysis and decision making processes. Star schema is the most common design of data warehouse schema. In this paper we propose a method that automatically transforms OWL structure into the star schema of data warehouse. The method automatically recognizes which attribute can be measured and creates fact and dimensional tables that are based on these measures. At the end, the user choses which tables are useful for analysis.
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L. Banić, A. Mihanović, M. Brakus (Poslovna Inteligencija d.o.o., Zagreb, Croatia)
Using Big Data and Semantic Analysis in Product Evaluation
When purchasing a product for the first time one usually needs to choose among several products with similar characteristics. Companies use to promote their brands and products pointing out good characteristics avoiding to mention the poor ones. The best way to choose the most suitable product is to rely upon the opinions of others. The system to be described here collects opinions about hotels from the web, evaluates them, aggregates these evaluations and offers cumulative, easy-to-understand information. Generated information is intended for the possible prospective customer, but also for the hotel managers providing them with additional guidance in future business development.
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T. Gazdić (Central Bank of Montenegro, Podgorica, Montenegro), L. Kašćelan (University of Montenegro/Faculty of Economics, Podgorica, Montenegro)
Model of the Business Intelligence System for Credit Risk Analysis
The subject of the research of this paper is modeling of the business intelligence system in area of credit risk analysis on the basis of data contained in the credit bureau. The information contained in a credit bureau give a specific view of the banking sector, based on volume of credit activity, current indebtedness of citizens and companies in banks and in other credit institutions and can be a good input in providing signals for monetary and fiscal policy creators. Having in mind that for the regulators (such as central banks) it is extremly important to control the credit risk exposure and monitor any possible deterioration in order to take adequate measures to prevent adverse situations, during the research the basic decision making models for credit risk analysis from this perspective were identified and, in accordance with that, an appropriate data mart and OLAP models were developed. The developed system was tested on data from the case study company, The Central Bank of Montenegro, which is owner of credit registry in Montenegro. The results were very good and significant improvement of the performance of business processes was identified.
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A. Korobko, T. Penkova, A. Mihalev, V. Nicheporchuk (Institute of Computational Modelling of Siberian Branch of Russian Academy of Science, Krasnoyarsk, Russian Federation)
The Integral OLAP-Model of the Emergency Risk Estimation in the Case of Krasnoyarsk Region
One of the most important aspects of territory development is the efficiency of the emergency risk management. The developed and developing counties spent significant part of the budget for emergency prevention, preparedness and response. Widely spread instrumental monitoring systems allow us to accumulate and to process monitoring data for crisis management and for minimization of the emergency risk. To prevent negative events, informational decision support should be based on statistical data, expert knowledge and powerful processing tool. The integral OLAP-model combines opportunities of the OLAP technology and benefits of the clustering method FCA. And it helps decision maker to get operative data in multidimensional view from primary sources in different combinations according to database structure and expert knowledge.
The paper focuses on implementing of the integral OLAP-model constructing method for the emergency risk estimation in the case of Krasnoyarsk region. Emergency, meteorological, hydrological, seismological, radiation, flood, housing and communal situations are observed. The process of analytical query constructing support based on integral OLAP-model is described. Discovered nonstandard analytical dependencies between monitoring data and correspond cube-concept of the integral OLAP-model are depicted. The paper is aimed at representing of the integral OLAP-model advantages and its potential.
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S. Pavlek, M. Sorić (Koios d.o.o., Zagreb, Croatia)
Automatizacija generiranja prezentacijskog sloja skladišta
Nakon implementacije kompleksnijih skladišta podataka uglavnom se otvara niz projekata koji se bave korištenjem podataka u skladištu. Podaci se iz centralnog sloja skladišta učitavaju u prezentacijski sloj, koji je modelom prilagođen izvještajnim alatima ili određenom specijaliziranom analitičkom softveru. Naručitelji sustava mogu biti (neugodno) iznenađeni situacijom u kojoj se opet govori o razvoju ETL-a, umjesto da se podatke u skladištu jednostavno – koristi.
Specifikacije za punjenje prezentacijskih slojeva pregledno se daju u tabličnom obliku: jedne pored drugih navode se tablice i kolone potrebne u prezentacijskom sloju te tablice i kolone iz kojih se podaci trebaju uzeti, uz opise eventualnih transformacija. Takva tablica razumljiva je i laka za korištenje (održavanje) poslovnim korisnicima, a dovoljno tehnički precizna.
U sustavu kojeg smo razvili informacije sadržane u takvoj tabličnoj specifikaciji koriste se za automatsko generiranje strukture ciljnih tablica te ETL procedura potrebnih za njihovo punjenje. Time je preskočen korak ručne izrade ETL-a, a sve kasnije promjene u specifikaciji realiziraju se u sustavu automatski i trenutačno.
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A. Matić, M. Sekula, D. Udier (Multicom d.o.o., Zagreb, Croatia)
Upravljanje matičnim podacima u suradnji sa skladištem podataka
U radu se opisuju karakteristike Multicom sustava za upravljanje matičnim podacima (engl. Master Data Management, MDM) te tehnologije korištene za razvoj njegovih komponenata. Osnovni su zadaci implementiranog sustava MDM sinkronizacija podataka o korisnicima među različitim sustavima i kontrola kvalitete tih podataka te odgovaranje na trajno velik broj upita o master zapisima korisnika (Single-Source-Of-Truth za matične podatke kupaca). Rješenje se sastoji od centralnog sustava MDM, prilagodbe izvornih sustava kako bi mogli komunicirati sa sustavom MDM te komponenata middleware na kojima su izloženi servisi. Centralni sustav MDM razvijen je u tehnologiji Oracle PL/SQL, a Web sučelje razvijeno je korištenjem tehnologija Java i Javascript. Svaka promjena u izvornim sustavima šalje se kao poruka u centralni sustav. Glavne su faze obrade poruke kontrola kvalitete podataka (mehanizam karantene tj. zadržavanje poruka s nekvalitetnim podacima radi ručnog odobrenja), povezivanje s postojećim master zapisom ili stvaranje novog master zapisa (entity resoution korak), ponovna izgradnja master zapisa iz svih povezanih izvornih zapisa (data integration korak) te propagacija promjena slanjem poruka izvornim sustavima.
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I. Sekula, M. Franić (Hrvatski Telekom d.d., Zagreb, Croatia)
Suvremena rješenja poslovne inteligencije zasnovana na konceptu računarstva u oblaku
Računarstvo u oblaku (cloud computing) korisnicima omogućuje pohranu podataka i instalaciju softvera na poslužitelje koji su internetski povezani. Uz pomoć web preglednika i posebnih klijenata, ove su usluge fleksibilne, a korisnici plaćaju samo ono što koriste. Računarstvo u oblaku predstavlja budućnost poslovne produktivnosti. U ovome će se članku razmotriti kako poslovna inteligencija (Bussines Intelligence) može utjecati na poslovnu produktivnost u kontekstu primjene rješenja iz domene računarstva u oblaku. Primjena poslovne inteligencije izdašan je financijski trošak s obzirom na veliku količinu podataka koju je potrebno analizirati i obraditi kako bi se utvrdili trendovi u poslovanju te značajne procesirajuće resurse koje je potrebno osigurati s tim u vezi. Cilj članka je pokazati kako se poslovna inteligencija može ponuditi po modernom skalabilnom SaaS (Software as a service) konceptu, koji se u posljednje vrijeme nametnuo kao jednostavno i održivo rješenje za organizacije opterećene kompleksnom softverskom infrastrukturom i istovremenim ograničenim financijskim sredstvima. Ovaj pristup u poslovnom okružju može omogućiti značajnu uštedu troškova zadržavajući pritom rješenja iz domene poslovne inteligencije te pristup aktualnim aplikativnim rješenjima s pozitivnom reperkusijom na konkurentnost. Ovaj rad ima za cilj ukazati na novu kvalitetu koju uporaba SaaS koncepta u poslovnoj inteligenciji donosi u poslovno okružje, kako takva rješenja izgledaju te koji su izazovi koje njihova implementacija donosi sa sobom.
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A. Frančić, D. Ferenčak, D. Cmuk (Končar - Electronics and Informatics Inc., BU ICT Systems, Zagreb, Croatia)
Končar MIS - snažan alat za mudra poduzeća
Management of medium and large companies is often challenged to perform actions dependent of high quantity of available and properly organized information. Weather they deal with abrupt legislative changes or turbulent market - the problem is similar. These situations particularly arise in times of crisis, and only companies prepared for them can prevail. In the midst of such circumstances Končar - Electrical industries Inc. decided to invest in the implementation of a new Management Information System (MIS) with the following advantages:
- Automated collection of data from various business systems
- Access to detailed information (better drill-down capability)
- High flexibility in reports generation
- More flexible adjustment of statutory reports according to legislation
The information provided by MIS supports strategic, tactical and operational levels of decision making. They are based on Gross balance sheet, Profit and Loss and Cash Flow reports since the application holds both – data history and medium-term plans. With large number of performance indicators resource management is enabled on all the levels. MIS is currently in final phase of development and implementation by Končar – Electronics and Informatics Inc. When things get harsh, invest in ICT - they tend to make though things easier.
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Basic information:
Chairs:
Mirta Baranović (Croatia), Matteo Golfarelli (Italy), Boris Vrdoljak (Croatia), Roberto Sandri (Croatia)
Program Committee:
Alberto Abello Gamazo (Spain), Marko Banek (Croatia), Mirta Baranović (Croatia), Ladjel Bellatreche (France), Alfredo Cuzzocrea (Italy), Jamel Feki (Tunisia), Dragan Gamberger (Croatia), Matteo Golfarelli (Italy), Igor Mekterović (Croatia), Damir Pintar (Croatia), Zoran Skočir (Croatia), A. Min Tjoa (Austria), Mladen Varga (Croatia), Boris Vrdoljak (Croatia), Robert Wrembel (Poland)
Registration / Fees:
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REGISTRATION / FEES
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Price in EUR
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Before May 6, 2013
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After May 6, 2013
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| Members of MIPRO and IEEE |
180
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200
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| Students (undergraduate), primary and secondary school teachers |
100
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110
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| Others |
200
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220
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Contact:
Mirta Baranović
Faculty of Electrical Engineering and Computing
Unska 3
HR-10000 Zagreb, Croatia
Phone: +385 1 6129 916
Mobile phone: +385 98 380 385
E-mail: mirta.baranovic@fer.hr
Location:
Opatija, often called the Nice of the Adriatic, is one of the most popular tourist resorts in Croatia and a place with the longest tourist tradition on the eastern part of Adriatic coast. Opatija is so attractive that at the end of the 19th and beginning of the 20thcenturies it was visited by the most prominent personalities: Giacomo Puccini, Pietro Mascagni, A. P. Čehov, James Joyce, Isidora Duncan, Beniamino Gigli, Primo Carnera, Emperor Franz Joseph, German Emperor Wilhelm II, Swedish Royal Couple Oscar and Sophia, King George of Greece.
The offer includes 20-odd hotels, a large number of catering establishments, sports and recreational facilities.
For more details please look at www.opatija.hr/ and www.opatija-tourism.hr/.
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