This page has only limited features, please log in for full access.

Dr. Lubomir Benko
Constantine the Philosopher University in Nitra

Basic Info


Research Keywords & Expertise

0 Computer Science
0 Data Mining
0 Machine Learning
0 Natural Language Processing
0 Web Mining

Fingerprints

Web Mining
Data Mining
Computer Science

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 01 July 2021 in Expert Systems with Applications
Reads 0
Downloads 0

Market discipline has been a scrutinized area since the last financial crisis in 2008. Regulators strengthened their role particularly through Pillar 3 in Basel III. However, there are still some aspects of market discipline that deserve special attention to avoid future failures. This study focuses on the analysis of the interest and behaviour of deposit stakeholders based on website data dedicated to disclosures of commercial bank in Slovakia during and after turbulent times (period 2009-2012). The data consists of log files, and web mining techniques were applied (the modelling of web user behaviour in dependence on time - based on the proposals of the authors). The results show that also in turbulent times, stakeholders’ interest in Pillar 3 disclosures is low (in line with (Munk, Pilkova, Benko, & Blažeková, 2017)) and the highest interest was identified for the Pricing List category. After turbulent times, Pillar 3 categories (Pillar 3 related information and Pillar 3 disclosures) have weak interest, with peaks at the beginning of the year, and the highest increase was in the Business Conditions category. The results suggest that the enhancement of interest of key stakeholders in disclosures inevitably requires changes to deliver sufficient disclosure data structures and to design a disclosure policy that fulfils regulatory expectations.

ACS Style

Michal Munk; Anna Pilkova; Lubomir Benko; Petra Blazekova; Peter Svec. Web usage analysis of Pillar 3 disclosed information by deposit customers in turbulent times. Expert Systems with Applications 2021, 185, 115503 .

AMA Style

Michal Munk, Anna Pilkova, Lubomir Benko, Petra Blazekova, Peter Svec. Web usage analysis of Pillar 3 disclosed information by deposit customers in turbulent times. Expert Systems with Applications. 2021; 185 ():115503.

Chicago/Turabian Style

Michal Munk; Anna Pilkova; Lubomir Benko; Petra Blazekova; Peter Svec. 2021. "Web usage analysis of Pillar 3 disclosed information by deposit customers in turbulent times." Expert Systems with Applications 185, no. : 115503.

Journal article
Published: 25 March 2021 in Applied Sciences
Reads 0
Downloads 0

This study is focused on the comparison of phrase-based statistical machine translation (SMT) systems and neural machine translation (NMT) systems using automatic metrics for translation quality evaluation for the language pair of English and Slovak. As the statistical approach is the predecessor of neural machine translation, it was assumed that the neural network approach would generate results with a better quality. An experiment was performed using residuals to compare the scores of automatic metrics of the accuracy (BLEU_n) of the statistical machine translation with those of the neural machine translation. The results showed that the assumption of better neural machine translation quality regardless of the system used was confirmed. There were statistically significant differences between the SMT and NMT in favor of the NMT based on all BLEU_n scores. The neural machine translation achieved a better quality of translation of journalistic texts from English into Slovak, regardless of if it was a system trained on general texts, such as Google Translate, or specific ones, such as the European Commission’s (EC’s) tool, which was trained on a specific-domain.

ACS Style

Lucia Benkova; Dasa Munkova; Ľubomír Benko; Michal Munk. Evaluation of English–Slovak Neural and Statistical Machine Translation. Applied Sciences 2021, 11, 2948 .

AMA Style

Lucia Benkova, Dasa Munkova, Ľubomír Benko, Michal Munk. Evaluation of English–Slovak Neural and Statistical Machine Translation. Applied Sciences. 2021; 11 (7):2948.

Chicago/Turabian Style

Lucia Benkova; Dasa Munkova; Ľubomír Benko; Michal Munk. 2021. "Evaluation of English–Slovak Neural and Statistical Machine Translation." Applied Sciences 11, no. 7: 2948.

Journal article
Published: 17 March 2021 in Sustainability
Reads 0
Downloads 0

Understanding how software works and writing a program are currently frequent requirements when hiring employees. The complexity of learning programming often results in educational failures, student frustration and lack of motivation, because different students prefer different learning paths. Although e-learning courses have led to many improvements in the methodology and the supporting technology for more effective programming learning, misunderstanding of programming principles is one of the main reasons for students leaving school early. Universities face a challenging task: how to harmonise students’ education, focusing on advanced knowledge in the development of software applications, with students’ education in cases where writing code is a new skill. The article proposes a conceptual framework focused on the comprehensive training of future programmers using microlearning and automatic evaluation of source codes to achieve immediate feedback for students. This framework is designed to involve students in the software development of virtual learning environment software that will provide their education, thus ensuring the sustainability of the environment in line with modern development trends. The paper’s final part is devoted to verifying the contribution of the presented elements through quantitative research on the introductory parts of the framework. It turned out that although the application of interactive features did not lead to significant measurable progress during the first semester of study, it significantly improved the results of students in subsequent courses focused on advanced programming.

ACS Style

Jan Skalka; Martin Drlik; Lubomir Benko; Jozef Kapusta; Juan Rodríguez del Pino; Eugenia Smyrnova-Trybulska; Anna Stolinska; Peter Svec; Pavel Turcinek. Conceptual Framework for Programming Skills Development Based on Microlearning and Automated Source Code Evaluation in Virtual Learning Environment. Sustainability 2021, 13, 3293 .

AMA Style

Jan Skalka, Martin Drlik, Lubomir Benko, Jozef Kapusta, Juan Rodríguez del Pino, Eugenia Smyrnova-Trybulska, Anna Stolinska, Peter Svec, Pavel Turcinek. Conceptual Framework for Programming Skills Development Based on Microlearning and Automated Source Code Evaluation in Virtual Learning Environment. Sustainability. 2021; 13 (6):3293.

Chicago/Turabian Style

Jan Skalka; Martin Drlik; Lubomir Benko; Jozef Kapusta; Juan Rodríguez del Pino; Eugenia Smyrnova-Trybulska; Anna Stolinska; Peter Svec; Pavel Turcinek. 2021. "Conceptual Framework for Programming Skills Development Based on Microlearning and Automated Source Code Evaluation in Virtual Learning Environment." Sustainability 13, no. 6: 3293.

Book
Published: 07 December 2020 in Java fundamental
Reads 0
Downloads 0
ACS Style

Ján Skalka; Ľubomír Benko; Mariusz Boryczka; Jaromír Landa; Juan Carlos Rodríguez-Del-Pino. Java fundamental. Java fundamental 2020, 1 .

AMA Style

Ján Skalka, Ľubomír Benko, Mariusz Boryczka, Jaromír Landa, Juan Carlos Rodríguez-Del-Pino. Java fundamental. Java fundamental. 2020; ():1.

Chicago/Turabian Style

Ján Skalka; Ľubomír Benko; Mariusz Boryczka; Jaromír Landa; Juan Carlos Rodríguez-Del-Pino. 2020. "Java fundamental." Java fundamental , no. : 1.

Journal article
Published: 09 May 2019 in Sensors
Reads 0
Downloads 0

This paper focuses on the analysis of reactions captured by the face analysis system. The experiment was conducted on a sample of 50 university students. Each student was shown 100 random images and the student´s reaction to every image was recorded. The recorded reactions were subsequently compared to the reaction of the image that was expected. The results of the experiment have shown several imperfections of the face analysis system. The system has difficulties classifying expressions and cannot detect and identify inner emotions that a person may experience when shown the image. Face analysis systems can only detect emotions that are expressed externally on a face by physiological changes in certain parts of the face.

ACS Style

Martin Magdin; Ľubomír Benko; Štefan Koprda. A Case Study of Facial Emotion Classification Using Affdex. Sensors 2019, 19, 2140 .

AMA Style

Martin Magdin, Ľubomír Benko, Štefan Koprda. A Case Study of Facial Emotion Classification Using Affdex. Sensors. 2019; 19 (9):2140.

Chicago/Turabian Style

Martin Magdin; Ľubomír Benko; Štefan Koprda. 2019. "A Case Study of Facial Emotion Classification Using Affdex." Sensors 19, no. 9: 2140.

Conference paper
Published: 16 March 2019 in Advances in Intelligent Systems and Computing
Reads 0
Downloads 0

Nowadays, post-editing of machine translation output represents a significant element in the translation market and industry. Subsequently, the preparation of future translators must cover not only all routine methods but must be cost-effective, efficient and in accordance with human resources available. That is the reason we use Internet-based technologies more and more. New emerging technologies are very often driven by the marketing power of companies developing and selling applications. Each of us experienced dozens of fantastic features available in teaching software and applications. The core skill of the online educator is to find a balance between our needs and ability to use technology. Since translation demand keeps growing every day, a large number of translators use various technical tools including translation memories, terminology management tools or Machine Translation (MT) technologies and thus increase their productivity and meet this high demand. The post-editing of MT should be only done by a person who is familiar with this method and knows exactly what, how and how much needs to be edited in the text. Otherwise, the sense of post-editing is losing importance, as the work of post-editor would not be more effective as a translator’s, who translates the text traditional way “from scratch”. The contribution of the paper is to create an online educational system tailored to translators’ needs; an online system in which students translate and revise a text, post-edit machine translation output and also assess the quality of the translation.

ACS Style

Daša Munková; Michal Munk; Ľubomír Benko; Jakub Absolon. From Old Fashioned “One Size Fits All” to Tailor Made Online Training. Advances in Intelligent Systems and Computing 2019, 365 -376.

AMA Style

Daša Munková, Michal Munk, Ľubomír Benko, Jakub Absolon. From Old Fashioned “One Size Fits All” to Tailor Made Online Training. Advances in Intelligent Systems and Computing. 2019; ():365-376.

Chicago/Turabian Style

Daša Munková; Michal Munk; Ľubomír Benko; Jakub Absolon. 2019. "From Old Fashioned “One Size Fits All” to Tailor Made Online Training." Advances in Intelligent Systems and Computing , no. : 365-376.

Conference paper
Published: 26 June 2018 in Lecture Notes in Electrical Engineering
Reads 0
Downloads 0

This paper is focused on improving the output of post-edited Machine Translation. A novel recommender system is introduced in this paper that was created to help post-editors to correct translation created by the Machine Translation. The aim of the paper is to describe the design and functionality of the proposed system. With the usage of automated parser were analysed pairs of segments from Machine Translation and corresponding post-edition. The calculation of the likelihood of the recommendation was used to get the word with the highest probability that was selected based on the similarity in words, tags and lemmas. The introduced approach can help to create a versatile recommender system that helps post-editors to improve their translation.

ACS Style

Jozef Kapusta; Ľubomír Benko. Recommender System for Post-editing of Machine Translation. Lecture Notes in Electrical Engineering 2018, 170 -175.

AMA Style

Jozef Kapusta, Ľubomír Benko. Recommender System for Post-editing of Machine Translation. Lecture Notes in Electrical Engineering. 2018; ():170-175.

Chicago/Turabian Style

Jozef Kapusta; Ľubomír Benko. 2018. "Recommender System for Post-editing of Machine Translation." Lecture Notes in Electrical Engineering , no. : 170-175.

Journal article
Published: 24 May 2018 in Journal of Intelligent & Fuzzy Systems
Reads 0
Downloads 0
ACS Style

Michal Munk; Dasa Munkova; Lubomir Benko. Towards the use of entropy as a measure for the reliability of automatic MT evaluation metrics. Journal of Intelligent & Fuzzy Systems 2018, 34, 3225 -3233.

AMA Style

Michal Munk, Dasa Munkova, Lubomir Benko. Towards the use of entropy as a measure for the reliability of automatic MT evaluation metrics. Journal of Intelligent & Fuzzy Systems. 2018; 34 (5):3225-3233.

Chicago/Turabian Style

Michal Munk; Dasa Munkova; Lubomir Benko. 2018. "Towards the use of entropy as a measure for the reliability of automatic MT evaluation metrics." Journal of Intelligent & Fuzzy Systems 34, no. 5: 3225-3233.

Journal article
Published: 22 January 2018 in Entropy
Reads 0
Downloads 0

The paper is focused on an examination of the use of entropy in the field of web usage mining. Entropy creates an alternative possibility of determining the ratio of auxiliary pages in the session identification using the Reference Length method. The experiment was conducted on two different web portals. The first log file was obtained from a course of virtual learning environment web portal. The second log file was received from the web portal with anonymous access. A comparison of the results of entropy estimation of the ratio of auxiliary pages and a sitemap estimation of the ratio of auxiliary pages showed that in the case of sitemap abundance, entropy could be a full-valued substitution for the estimate of the ratio of auxiliary pages.

ACS Style

Michal Munk; Lubomir Benko. Using Entropy in Web Usage Data Preprocessing. Entropy 2018, 20, 67 .

AMA Style

Michal Munk, Lubomir Benko. Using Entropy in Web Usage Data Preprocessing. Entropy. 2018; 20 (1):67.

Chicago/Turabian Style

Michal Munk; Lubomir Benko. 2018. "Using Entropy in Web Usage Data Preprocessing." Entropy 20, no. 1: 67.

Journal article
Published: 27 October 2017 in Journal of Business Economics and Management
Reads 0
Downloads 0

The study presented in the paper contributes to covering the gap in the area of sufficient information disclosure that also increases the interests of relevant stakeholders in contributing to depository market discipline and in being relevant to their interest within Pillar 3 framework. This paper is focused on an analysis of website data dedicated to Pillar 3 disclosures of commercial banks and on studying the behaviour of stakeholders in relation to the timing of serious market turbulence. The examined data consists of log files that were pre-processed using web mining techniques and from which were extracted frequent itemsets by quarters and evaluated in terms of quantity. The authors have proposed a methodology to evaluate frequent itemsets of web parts over a dedicated time period. The results show that stakeholders’ interest in disclosures is lower after turbulent times in 2009, higher in the first quarter, also higher together with annual reports (lower for Pillar 3 solo information). The paper’s results suggest that further changes in commercial banks´ information disclosure are inevitable in order to achieve an effective market discipline mechanism and meaningful disclosures according to the regulator´s expectations.

ACS Style

Michal Munk; Anna Pilkova; Lubomir Benko; Petra Blažeková. PILLAR 3: MARKET DISCIPLINE OF THE KEY STAKEHOLDERS IN CEE COMMERCIAL BANK AND TURBULENT TIMES. Journal of Business Economics and Management 2017, 18, 954 -973.

AMA Style

Michal Munk, Anna Pilkova, Lubomir Benko, Petra Blažeková. PILLAR 3: MARKET DISCIPLINE OF THE KEY STAKEHOLDERS IN CEE COMMERCIAL BANK AND TURBULENT TIMES. Journal of Business Economics and Management. 2017; 18 (5):954-973.

Chicago/Turabian Style

Michal Munk; Anna Pilkova; Lubomir Benko; Petra Blažeková. 2017. "PILLAR 3: MARKET DISCIPLINE OF THE KEY STAKEHOLDERS IN CEE COMMERCIAL BANK AND TURBULENT TIMES." Journal of Business Economics and Management 18, no. 5: 954-973.

Conference paper
Published: 21 July 2017 in Lecture Notes in Electrical Engineering
Reads 0
Downloads 0

This paper focuses on an unconventional usage of entropy. On one side it deals with preprocessing phase, especially the session identification using the Reference Length method. Entropy, in this case, offers an alternative to determining the ratio of auxiliary pages that is important for this method. With the approach introduced in this paper, the need of a sitemap becomes void. On the other hand, the paper looks at entropy in the case of reliability analysis of Machine Translation metrics. In this case, entropy offers also an alternative mean to validate the metrics.

ACS Style

Michal Munk; Ľubomír Benko. Unconventional Usage of Entropy in the Field of Web Usage Data Preprocessing and Machine Translation Evaluation. Lecture Notes in Electrical Engineering 2017, 281 -286.

AMA Style

Michal Munk, Ľubomír Benko. Unconventional Usage of Entropy in the Field of Web Usage Data Preprocessing and Machine Translation Evaluation. Lecture Notes in Electrical Engineering. 2017; ():281-286.

Chicago/Turabian Style

Michal Munk; Ľubomír Benko. 2017. "Unconventional Usage of Entropy in the Field of Web Usage Data Preprocessing and Machine Translation Evaluation." Lecture Notes in Electrical Engineering , no. : 281-286.

Journal article
Published: 23 May 2017 in IEEE Access
Reads 0
Downloads 0

Educational data preprocessing from log files represents a time-consuming phase of the knowledge discovery process. It consists of data cleaning, user identification, session identification, and path completion phase. This paper attempts to identify phases, which are necessary in the case of preprocessing of educational data for further application of learning analytics methods. Since the sequential patterns analysis is considered suitable for estimating of discovered knowledge, this paper tries answering the question, which of these preprocessing phases has a significant impact on discovered knowledge in general, as well as in the meaning of quality and quantity of found sequence patterns. Therefore, several data preprocessing techniques for session identification and path completion were applied to prepare log files with different levels of data preprocessing. The results showed that the session identification technique using the reference length, calculated from the sitemap, had a significant impact on the quality of extracted sequence rules. The path completion technique had a significant impact only on the quantity of extracted sequence rules. The found results together with the results of the previous systematic research in educational data preprocessing can improve the automation of the educational data preprocessing phase as well as it can contribute to the development of learning analytics tools suitable for different groups of stakeholders engaged in the educational data mining research activities.

ACS Style

Michal Munk; Martin Drlik; Lubomir Benko; Jaroslav Reichel. Quantitative and Qualitative Evaluation of Sequence Patterns Found by Application of Different Educational Data Preprocessing Techniques. IEEE Access 2017, 5, 8989 -9004.

AMA Style

Michal Munk, Martin Drlik, Lubomir Benko, Jaroslav Reichel. Quantitative and Qualitative Evaluation of Sequence Patterns Found by Application of Different Educational Data Preprocessing Techniques. IEEE Access. 2017; 5 ():8989-9004.

Chicago/Turabian Style

Michal Munk; Martin Drlik; Lubomir Benko; Jaroslav Reichel. 2017. "Quantitative and Qualitative Evaluation of Sequence Patterns Found by Application of Different Educational Data Preprocessing Techniques." IEEE Access 5, no. : 8989-9004.

Conference paper
Published: 10 November 2016 in Transactions on Petri Nets and Other Models of Concurrency XV
Reads 0
Downloads 0
ACS Style

Michal Munk; Daša Munková; Ľubomír Benko. Identification of Relevant and Redundant Automatic Metrics for MT Evaluation. Transactions on Petri Nets and Other Models of Concurrency XV 2016, 141 -152.

AMA Style

Michal Munk, Daša Munková, Ľubomír Benko. Identification of Relevant and Redundant Automatic Metrics for MT Evaluation. Transactions on Petri Nets and Other Models of Concurrency XV. 2016; ():141-152.

Chicago/Turabian Style

Michal Munk; Daša Munková; Ľubomír Benko. 2016. "Identification of Relevant and Redundant Automatic Metrics for MT Evaluation." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 141-152.

Conference paper
Published: 05 September 2016 in 2015 13th International Conference on Emerging eLearning Technologies and Applications (ICETA)
Reads 0
Downloads 0

One of the most important areas of optimizing the learning environment in distance education is to analyze the behavior of students in eLearning courses. The aim of the paper is to summarize the field of Educational data mining, analyze the behavior of students in e-course Computer data analysis and to present a few cases of a similar analysis of the behavior of students. The results of the analysis may have potential for future use in optimizing the e-course. Analysis results were obtained using extracted association rules from the e-course. This electronic course is designed to use linear and branched teaching programs. Target group research were students of Computer Science, which was reflected in the results. It is not necessary to have special knowledge of IT to work in e-course. The course was created using LMS Moodle, which records the behaviour of users to the database. We used specific types of data, which indicate user traffic on every single page of the course. We used the log file containing records with the behavior of 69 students in e-course. Session identification is for the distribution of accesses of all users of e-course to separated sessions. Students are identified by their login ID. Therefore, we can separate the users who share a computer. Students who have used e-course Computer data analysis, were successful in the final test. By analyzing we can improve e-course. After implementation of necessary changes we can evaluate impact of these changes in the efficacy of the course.

ACS Style

Jaroslav Reichel; P. Kuna; Lubomir Benko; Michal Munk. Visit rate analysis of course activities: Case study. 2015 13th International Conference on Emerging eLearning Technologies and Applications (ICETA) 2016, 1 -6.

AMA Style

Jaroslav Reichel, P. Kuna, Lubomir Benko, Michal Munk. Visit rate analysis of course activities: Case study. 2015 13th International Conference on Emerging eLearning Technologies and Applications (ICETA). 2016; ():1-6.

Chicago/Turabian Style

Jaroslav Reichel; P. Kuna; Lubomir Benko; Michal Munk. 2016. "Visit rate analysis of course activities: Case study." 2015 13th International Conference on Emerging eLearning Technologies and Applications (ICETA) , no. : 1-6.

Book chapter
Published: 16 April 2016 in Lecture Notes in Electrical Engineering
Reads 0
Downloads 0

Data pre-processing is an important part of web log mining. This paper focuses on one of the phases of data pre-processing—on session identification. Cutoff time is an important part of the session identification using the Reference Length method. The aim of this paper is to compare the influence of subjective and sitemap estimation of the auxiliary pages ratio on calculation of cutoff time. Based on the sitemap and subjective estimation the calculation of auxiliary pages ratio was compared. The ratio of auxiliary pages has only impact on the quantity of extracted rules in the files with path completion.

ACS Style

Michal Munk; Ľubomír Benko. Improving the Session Identification Using the Ratio of Auxiliary Pages Estimate. Lecture Notes in Electrical Engineering 2016, 551 -556.

AMA Style

Michal Munk, Ľubomír Benko. Improving the Session Identification Using the Ratio of Auxiliary Pages Estimate. Lecture Notes in Electrical Engineering. 2016; ():551-556.

Chicago/Turabian Style

Michal Munk; Ľubomír Benko. 2016. "Improving the Session Identification Using the Ratio of Auxiliary Pages Estimate." Lecture Notes in Electrical Engineering , no. : 551-556.

Conference paper
Published: 01 November 2015 in 2015 13th International Conference on Emerging eLearning Technologies and Applications (ICETA)
Reads 0
Downloads 0

Virtual learning environment can nowadays provide good foundation for students to successfully manage any subject that is educated with the help of virtual learning environment. Backward analysis of student behavior in electronic course depending on their final marks, may reveal weaknesses of the course, or possible problem areas of teaching. This research is focused on analyzing the influence of behavior of students in electronic course on their final marks at the end of term. The authors present a detailed log file preprocessing procedure that makes it possible to examine the behavior of students in a virtual learning environment during the term. Individual electronic course activities were divided into interrelated logical groups and based on that were identified association rules between the content - course activities - course modules and the final marks. The rules represent the access of a particular group of students, who were divided according their final marks, to the created activity groups. The results of the analysis showed that the final marks correspond to the behavior of students in virtual learning environment. Despite that the research did not confirm the high degree of dependency, the results could help improve the teaching using the electronic course. The results also showed that repeating autotest tasks to improve the knowledge necessary for the final examination, did not bring the expected effect.

ACS Style

L'. Benko; J. Reichel; Michal Munk. Analysis of student behavior in virtual learning environment depending on student assessments. 2015 13th International Conference on Emerging eLearning Technologies and Applications (ICETA) 2015, 1 -6.

AMA Style

L'. Benko, J. Reichel, Michal Munk. Analysis of student behavior in virtual learning environment depending on student assessments. 2015 13th International Conference on Emerging eLearning Technologies and Applications (ICETA). 2015; ():1-6.

Chicago/Turabian Style

L'. Benko; J. Reichel; Michal Munk. 2015. "Analysis of student behavior in virtual learning environment depending on student assessments." 2015 13th International Conference on Emerging eLearning Technologies and Applications (ICETA) , no. : 1-6.

Journal article
Published: 04 September 2015 in E+M Ekonomie a Management
Reads 0
Downloads 0
ACS Style

Milan Turčáni; Mikuláš Gangur; Ľubomír Benko; Michal Munk. Influence of ratio of auxiliary pages on the pre-processing phase of web usage mining. E+M Ekonomie a Management 2015, 18, 144 -159.

AMA Style

Milan Turčáni, Mikuláš Gangur, Ľubomír Benko, Michal Munk. Influence of ratio of auxiliary pages on the pre-processing phase of web usage mining. E+M Ekonomie a Management. 2015; 18 (3):144-159.

Chicago/Turabian Style

Milan Turčáni; Mikuláš Gangur; Ľubomír Benko; Michal Munk. 2015. "Influence of ratio of auxiliary pages on the pre-processing phase of web usage mining." E+M Ekonomie a Management 18, no. 3: 144-159.