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1.
Vpliv nizkocenovnih letalskih prevoznikov na ekonomske kazalnike regij severnega jadrana
Marin Kajba, 2019, magistrsko delo/naloga

Opis: Magistrska naloga proučuje vpliv nizkocenovnih prevoznikov na ekonomske kazalnike regij severnega jadrana. Raziskavo smo opravili na podatkih 12 letališč v Sloveniji, Hrvaški in Italiji. Raziskava je doprinos k znanosti, saj v literaturi nismo zasledili tovrstne raziskave na tem geografskem področju. Tuji avtorji navajajo, da se je s prihodom nizkocenovnih letalskih prevoznikov v odročne kraje spremenil socialno-ekonomski status v regijah. Da bi analizirali vpliv v naši okolici, smo z DEA analizo izračunali tri različne učinkovitosti izbranih letališč (učinkovitost glede števila potnikov, tehnična učinkovitost in splošna učinkovitost). Izračunani so nam pomagali v nadaljevanju, ko smo preverili, kako letališča vplivajo na svojo okolico. Poiskali smo njihove vrednosti korelacije z bruto domačim proizvodom in številom nočitev v regijah. Ugotovili smo, da je večina italijanskih letališč 100% učinkovita v vseh letih, ki smo jih analizirali, učinkovitost ostalih pa narašča skozi leta. Izstopa le domače letališče Jožeta Pučnika, ki mu splošna učinkovitost pada. Rezultati, ki so predstavljeni na koncu dela lahko letališčem pomagajo pri načrtovanju nadaljnjega dela.
Ključne besede: nizkocenovni letalski prevozniki, Data Envelopment Analysis (DEA), učinkovitost, letališča
Objavljeno: 11.06.2019; Ogledov: 443; Prenosov: 37
.pdf Celotno besedilo (3,02 MB)

2.
Automatic S-phase arrival identification for local earthquakes
Izidor Tasič, Franc Runovc, 2009, izvirni znanstveni članek

Opis: In the case of a strong local earthquake, a quick report about the earthquake’s location is expected. Such reports are usually performed automatically, where the identification of the seismic-phase arrival of the various seismic waves on the seismogram is the most important task. For this purpose, numerous detecting methods for the first P-wave arrival identification and determination are used. But in some cases, where the number of seismic stations in a local seismic network is very small, an automatic reading of the S-wave arrival is required. An algorithm for the automatic picking of the S wave arrival from three-component seismic data has been developed. Three parameters of the signal are calculated from these data and the S phase arrival is declared when the product of the three parameters increases above a reference level. Such a so-called S-phase picker is used to automatically analyze the data from local earthquakes in Slovenia's seismic network.
Ključne besede: seismic waves, P and S waves, analysis of seismogram data, automatic picking of the S-wave arrival, seismic station, seismic network
Objavljeno: 06.06.2018; Ogledov: 349; Prenosov: 37
.pdf Celotno besedilo (283,31 KB)
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3.
Greenfield and brownfield investments and economic growth
Yilmaz Bayar, 2017, izvirni znanstveni članek

Opis: Global foreign direct investment flows in terms of greenfield and brownfield investments have increased during the recent three decades resulting from the accelerating globalization. The considerable increases in the flows of foreign direct investment have many eventualities for the national economies. This study investigates the mutual effects among greenfield and brownfield (mergers and acquisitions) investments and economic growth in Central and Eastern European Union countries during the 2003–2015 period employing panel data analysis. The findings revealed that both greenfield and brownfield investments had positive influence on the economic growth, but the influence of greenfield investments was found to be relatively higher. Furthermore, one-way causality was discovered from both greenfield and brownfield investments to the economic growth.
Ključne besede: greenfield investments, brownfield investments, economic growth, panel data analysis, Central and Eastern European Union countries
Objavljeno: 03.05.2018; Ogledov: 526; Prenosov: 82
.pdf Celotno besedilo (349,83 KB)
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4.
Measuring efficiency of nations in multi sport events
Roma Mitra Debnath, Ashish Malhotra, 2015, izvirni znanstveni članek

Opis: This paper used a data envelopment analysis (DEA) to measure the performance of the nations participating in the Commonwealth Games. To increase the consistency of the research, multiple models were employed to validate the result, but the nature of the input and output remained same throughout the paper. The objective of this study was to establish some realistic targets in terms of number of players for all participant countries and evaluations of their performance as well as benchmarks against the most efficient country. This study would help the nations optimize the size of their players to maximize the outcome in terms of the number of medals won in sporting events.
Ključne besede: performance measurement, data envelopment analysis, efficiency, Commonwealth Games
Objavljeno: 13.11.2017; Ogledov: 576; Prenosov: 62
.pdf Celotno besedilo (1,51 MB)
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5.
Robust clustering of languages across Wikipedia growth
Kristina Ban, Matjaž Perc, Zoran Levnajić, 2017, izvirni znanstveni članek

Opis: Wikipedia is the largest existing knowledge repository that is growing on a genuine crowdsourcing support. While the English Wikipedia is the most extensive and the most researched one with over 5 million articles, comparatively little is known about the behaviour and growth of the remaining 283 smaller Wikipedias, the smallest of which, Afar, has only one article. Here, we use a subset of these data, consisting of 14 962 different articles, each of which exists in 26 different languages, from Arabic to Ukrainian. We study the growth of Wikipedias in these languages over a time span of 15 years. We show that, while an average article follows a random path from one language to another, there exist six well-defined clusters of Wikipedias that share common growth patterns. The make-up of these clusters is remarkably robust against the method used for their determination, as we verify via four different clustering methods. Interestingly, the identified Wikipedia clusters have little correlation with language families and groups. Rather, the growth of Wikipedia across different languages is governed by different factors, ranging from similarities in culture to information literacy.
Ključne besede: Wikipedia, language, growth dynamics, data analysis, clustering
Objavljeno: 13.11.2017; Ogledov: 593; Prenosov: 284
.pdf Celotno besedilo (1004,06 KB)
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6.
Link prediction on Twitter
Sanda Martinčić-Ipšić, Edvin Močibob, Matjaž Perc, 2017, izvirni znanstveni članek

Opis: With over 300 million active users, Twitter is among the largest online news and social networking services in existence today. Open access to information on Twitter makes it a valuable source of data for research on social interactions, sentiment analysis, content diffusion, link prediction, and the dynamics behind human collective behaviour in general. Here we use Twitter data to construct co-occurrence language networks based on hashtags and based on all the words in tweets, and we use these networks to study link prediction by means of different methods and evaluation metrics. In addition to using five known methods, we propose two effective weighted similarity measures, and we compare the obtained outcomes in dependence on the selected semantic context of topics on Twitter. We find that hashtag networks yield to a large degree equal results as all-word networks, thus supporting the claim that hashtags alone robustly capture the semantic context of tweets, and as such are useful and suitable for studying the content and categorization. We also introduce ranking diagrams as an efficient tool for the comparison of the performance of different link prediction algorithms across multiple datasets. Our research indicates that successful link prediction algorithms work well in correctly foretelling highly probable links even if the information about a network structure is incomplete, and they do so even if the semantic context is rationalized to hashtags.
Ključne besede: link prediction, data mining, Twitter, network analysis
Objavljeno: 15.09.2017; Ogledov: 714; Prenosov: 75
.pdf Celotno besedilo (6,98 MB)
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7.
Outsourcing medical data analyses
Boštjan Brumen, Marjan Heričko, Andrej Sevčnikar, Jernej Završnik, Marko Hölbl, 2013, izvirni znanstveni članek

Opis: Background: Medical data are gold mines for deriving the knowledge that could change the course of a single patient’s life or even the health of the entire population. A data analyst needs to have full access to relevant data, but full access may be denied by privacy and confidentiality of medical data legal regulations, especially when the data analyst is not affiliated with the data owner. Objective: Our first objective was to analyze the privacy and confidentiality issues and the associated regulations pertaining to medical data, and to identify technologies to properly address these issues. Our second objective was to develop a procedure to protect medical data in such a way that the outsourced analyst would be capable of doing analyses on protected data and the results would be comparable, if not the same, as if they had been done on the original data. Specifically, our hypothesis was there would not be a difference between the outsourced decision trees built on encrypted data and the ones built on original data. Methods: Using formal definitions, we developed an algorithm to protect medical data for outsourced analyses. The algorithm was applied to publicly available datasets (N=30) from the medical and life sciences fields. The analyses were performed on the original and the protected datasets and the results of the analyses were compared. Bootstrapped paired t tests for 2 dependent samples were used to test whether the mean differences in size, number of leaves, and the accuracy of the original and the encrypted decision trees were significantly different. Results: The decision trees built on encrypted data were virtually the same as those built on original data. Out of 30 datasets, 100% of the trees had identical accuracy. The size of a tree and the number of leaves was different only once (1/30, 3%, P=.19). Conclusions: The proposed algorithm encrypts a file with plain text medical data into an encrypted file with the data protected in such a way that external data analyses are still possible. The results show that the results of analyses on original and on protected data are identical or comparably similar. The approach addresses the privacy and confidentiality issues that arise with medical data and is adherent to strict legal rules in the United States and Europe regarding the processing of the medical data.
Ključne besede: medical data, disclosure control, medical confidentiality, data analysis, data security
Objavljeno: 02.08.2017; Ogledov: 573; Prenosov: 72
.pdf Celotno besedilo (3,34 MB)
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8.
Analyzing information seeking and drug-safety alert response by health care professionals as ew methods for surveillance
Alison Callahan, Igor Pernek, Gregor Štiglic, Jurij Leskovec, Howard Strasberg, Nigam Haresh Shah, 2015, izvirni znanstveni članek

Opis: Background: Patterns in general consumer online search logs have been used to monitor health conditions and to predict health-related activities, but the multiple contexts within which consumers perform online searches make significant associations difficult to interpret. Physician information-seeking behavior has typically been analyzed through survey-based approaches and literature reviews. Activity logs from health care professionals using online medical information resources are thus a valuable yet relatively untapped resource for large-scale medical surveillance. Objective: To analyze health care professionals% information-seeking behavior and assess the feasibility of measuring drug-safety alert response from the usage logs of an online medical information resource. Methods: Using two years (2011-2012) of usage logs from UpToDate, we measured the volume of searches related to medical conditions with significant burden in the United States, as well as the seasonal distribution of those searches. We quantified the relationship between searches and resulting page views. Using a large collection of online mainstream media articles and Web log posts we also characterized the uptake of a Food and Drug Administration (FDA) alert via changes in UpToDate search activity compared with general online media activity related to the subject of the alert. Results: Diseases and symptoms dominate UpToDate searches. Some searches result in page views of only short duration, while others consistently result in longer-than-average page views. The response to an FDA alert for Celexa, characterized by a change in UpToDate search activity, differed considerably from general online media activity. Changes in search activity appeared later and persisted longer in UpToDate logs. The volume of searches and page view durations related to Celexa before the alert also differed from those after the alert. Conclusions: Understanding the information-seeking behavior associated with online evidence sources can offer insight into the information needs of health professionals and enable large-scale medical surveillance. Our Web log mining approach has the potential to monitor responses to FDA alerts at a national level. Our findings can also inform the design and content of evidence-based medical information resources such as UpToDate
Ključne besede: internet log analysis, data mining, physicians, information-seeking behavior, drug safety surveillance
Objavljeno: 02.08.2017; Ogledov: 795; Prenosov: 98
.pdf Celotno besedilo (4,18 MB)
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9.
Prediction of wine sensorial quality by routinely measured chemical properties
Adriána Bednárová, Roman Kranvogl, Darinka Brodnjak-Vončina, Tjaša Jug, 2014, izvirni znanstveni članek

Opis: The determination of the sensorial quality of wines is of great interest for wine consumers and producers since it declares the quality in most of the cases. The sensorial assays carried out by a group of experts are time-consuming and expensive especially when dealing with large batches of wines. Therefore, an attempt was made to assess the possibility of estimating the wine sensorial quality with using routinely measured chemical descriptors as predictors. For this purpose, 131 Slovenian red wine samples of different varieties and years of production were analysed and correlation and principal component analysis were applied to find inter-relations between the studied oenological descriptors. The method of artificial neural networks (ANNs) was utilised as the prediction tool for estimating overall sensorial quality of red wines. Each model was rigorously validated and sensitivity analysis was applied as a method for selecting the most important predictors. Consequently, acceptable results were obtained, when data representing only one year of production were included in the analysis. In this case, the coefficient of determination (R2) associated with training data was 0.95 and that for validation data was 0.90. When estimating sensorial quality in categorical form, 94 % and 85 % of correctly classified samples were achieved for training and validation subset, respectively.
Ključne besede: overall sensorial quality, prediction, Slovenian wine, artificial neural networks, multivariate data analysis
Objavljeno: 03.04.2017; Ogledov: 706; Prenosov: 289
.pdf Celotno besedilo (1,02 MB)
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10.
Vpliv nizkocenovnih letalskih prevoznikov na učinkovitost letališč
Klemen Grobin, 2015, diplomsko delo/naloga

Opis: Nizkocenovni letalski prevozniki so hitro rastoča panoga letalskega prometa, ki je na novo definirala način potovanja na želene destinacije. Raziskave na področju vpliva nizkocenovnih prevoznikov na konkurenco so zelo pogoste, na področju vpliva na učinkovitost letališča pa je opazen primanjkljaj strokovne literature. V diplomskem delu bomo s pomočjo uporabe metode DEA za izračun učinkovitosti in s pomočjo uporabe linearne regresije za določanje vplivov poizkusili odgovoriti na vprašanje o vplivu nizkocenovnih prevoznikov na učinkovitost letališč. Vzorec dvanajstih letališč bo omejen na Jadransko regijo, uporabljeni pa bodo različni modeli DEA in različna časovna obdobja za natančnejšo določitev obnašanja zaradi pojava gospodarske krize. Rezultati kažejo na močan vpliv nizkocenovnih prevoznikov na učinkovitost letališč, vpliv pa je močno odvisen od nekaterih infrastrukturnih dejavnikov na letališču.
Ključne besede: nizkocenovni letalski prevozniki, Data Envelopment Analysis (DEA), učinkovitost, letališča
Objavljeno: 24.09.2015; Ogledov: 798; Prenosov: 97
.pdf Celotno besedilo (1,59 MB)

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