TY  - CONF
AU  - Popović, Brankica
AU  - Kuk, Kristijan
AU  - Kovačević, Ana
PY  - 2018
UR  - http://jakov.kpu.edu.rs/handle/123456789/921
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/439
AB  - The enhancement and proliferation of information and communication technology (ICT) has tackled every aspect of human activity: work, leisure, sport, communication, medicine, etc. All around us we can see mobile phones and other connected devices that are now ubiquitous, changing trends in consumer behaviour. Therefore, there is no surprise in fact that such technologies can play a significant role in committing or assisting a crime, since data held on digital devices can give a detailed insight into people’s lives, communications, contacts, friends, family and acquaintances. In order to help law enforcement investigation of such crimes, digital forensic is performed with the aim of collecting crime-related evidence from various digital media and analyse it. Investigators use various forensic techniques to search hidden folders, retrieve deleted data, decrypt the data or restore damaged files, etc. Obtaining evidence such as location data, photos, messages or internet searches can be beneficial, if not crucial, in assisting the police with criminal investigations. Since advances in technologies have led to an increase in the volume, variety, velocity, and veracity of data available for digital forensic analysis, without efficient techniques and tools such investigation would require a tremendous amount of effort and time. That is the reason for expansion in the market of digital forensic tools, both proprietary and free for use, that are available today. In this paper an insight of digital forensic process is given, emphasizing the role of digital forensic tools in providing digital evidence. The possibility of one particular tool, Belkasoft Evidence Center – BEC, in acquisition and analysis of digital evidence was briefly described.
PB  - Belgrade : Academy of Criminalistic and Police Studies
C3  - International Scientific Conference "Archibald Reiss Days", Belgrade, 2-3 October 2018. Vol. 2
T1  - Comprehensive forensic examination with Belkasoft evidence center
SP  - 419
EP  - 433
ER  - 

@conference{
author = "Popović, Brankica and Kuk, Kristijan and Kovačević, Ana",
year = "2018",
abstract = "The enhancement and proliferation of information and communication technology (ICT) has tackled every aspect of human activity: work, leisure, sport, communication, medicine, etc. All around us we can see mobile phones and other connected devices that are now ubiquitous, changing trends in consumer behaviour. Therefore, there is no surprise in fact that such technologies can play a significant role in committing or assisting a crime, since data held on digital devices can give a detailed insight into people’s lives, communications, contacts, friends, family and acquaintances. In order to help law enforcement investigation of such crimes, digital forensic is performed with the aim of collecting crime-related evidence from various digital media and analyse it. Investigators use various forensic techniques to search hidden folders, retrieve deleted data, decrypt the data or restore damaged files, etc. Obtaining evidence such as location data, photos, messages or internet searches can be beneficial, if not crucial, in assisting the police with criminal investigations. Since advances in technologies have led to an increase in the volume, variety, velocity, and veracity of data available for digital forensic analysis, without efficient techniques and tools such investigation would require a tremendous amount of effort and time. That is the reason for expansion in the market of digital forensic tools, both proprietary and free for use, that are available today. In this paper an insight of digital forensic process is given, emphasizing the role of digital forensic tools in providing digital evidence. The possibility of one particular tool, Belkasoft Evidence Center – BEC, in acquisition and analysis of digital evidence was briefly described.",
publisher = "Belgrade : Academy of Criminalistic and Police Studies",
journal = "International Scientific Conference "Archibald Reiss Days", Belgrade, 2-3 October 2018. Vol. 2",
title = "Comprehensive forensic examination with Belkasoft evidence center",
pages = "419-433"
}

Popović, B., Kuk, K.,& Kovačević, A.. (2018). Comprehensive forensic examination with Belkasoft evidence center. in International Scientific Conference "Archibald Reiss Days", Belgrade, 2-3 October 2018. Vol. 2
Belgrade : Academy of Criminalistic and Police Studies., 419-433.

Popović B, Kuk K, Kovačević A. Comprehensive forensic examination with Belkasoft evidence center. in International Scientific Conference "Archibald Reiss Days", Belgrade, 2-3 October 2018. Vol. 2. 2018;:419-433..

Popović, Brankica, Kuk, Kristijan, Kovačević, Ana, "Comprehensive forensic examination with Belkasoft evidence center" in International Scientific Conference "Archibald Reiss Days", Belgrade, 2-3 October 2018. Vol. 2 (2018):419-433.

TY  - CONF
AU  - Kovačević, Ana
AU  - Nikolic, D.
PY  - 2015
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/294
PB  - IGI Global, Hershey, PA
C3  - Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance
T1  - Cyber Attacks on Critical Infrastructure: Review and Challenges
SP  - 1
EP  - 18
DO  - 10.4018/978-1-4666-6324-4.ch001
ER  - 

@conference{
author = "Kovačević, Ana and Nikolic, D.",
year = "2015",
publisher = "IGI Global, Hershey, PA",
journal = "Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance",
title = "Cyber Attacks on Critical Infrastructure: Review and Challenges",
pages = "1-18",
doi = "10.4018/978-1-4666-6324-4.ch001"
}

Kovačević, A.,& Nikolic, D.. (2015). Cyber Attacks on Critical Infrastructure: Review and Challenges. in Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance
IGI Global, Hershey, PA., 1-18.
https://doi.org/10.4018/978-1-4666-6324-4.ch001

Kovačević A, Nikolic D. Cyber Attacks on Critical Infrastructure: Review and Challenges. in Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance. 2015;:1-18.
doi:10.4018/978-1-4666-6324-4.ch001 .

Kovačević, Ana, Nikolic, D., "Cyber Attacks on Critical Infrastructure: Review and Challenges" in Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance (2015):1-18,
https://doi.org/10.4018/978-1-4666-6324-4.ch001 . .

TY  - CONF
AU  - Kovačević, Ana
PY  - 2014
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/257
AB  - Cyberbullying has become intensive field of research, due to its major impact on society. Most researchers analyze causes and consequences of cyberbullying, however, only few try to improve software to reduce or stop cyberbullying, and make Internet a safer place. In this article, current review of efforts in cyberbullying detection using web content mining techniques is presented.
PB  - IEEE, New York
C3  - 2014 22nd Telecommunications Forum Telfor (TELFOR)
T1  - Cyberbullying detection using web content mining
SP  - 939
EP  - 942
DO  - 10.1109/TELFOR.2014.7034560
ER  - 

@conference{
author = "Kovačević, Ana",
year = "2014",
abstract = "Cyberbullying has become intensive field of research, due to its major impact on society. Most researchers analyze causes and consequences of cyberbullying, however, only few try to improve software to reduce or stop cyberbullying, and make Internet a safer place. In this article, current review of efforts in cyberbullying detection using web content mining techniques is presented.",
publisher = "IEEE, New York",
journal = "2014 22nd Telecommunications Forum Telfor (TELFOR)",
title = "Cyberbullying detection using web content mining",
pages = "939-942",
doi = "10.1109/TELFOR.2014.7034560"
}

Kovačević, A.. (2014). Cyberbullying detection using web content mining. in 2014 22nd Telecommunications Forum Telfor (TELFOR)
IEEE, New York., 939-942.
https://doi.org/10.1109/TELFOR.2014.7034560

Kovačević A. Cyberbullying detection using web content mining. in 2014 22nd Telecommunications Forum Telfor (TELFOR). 2014;:939-942.
doi:10.1109/TELFOR.2014.7034560 .

Kovačević, Ana, "Cyberbullying detection using web content mining" in 2014 22nd Telecommunications Forum Telfor (TELFOR) (2014):939-942,
https://doi.org/10.1109/TELFOR.2014.7034560 . .

TY  - CHAP
AU  - Kovačević, Ana
AU  - Nikolić, D.
PY  - 2014
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/239
AB  - The Internet has become an inevitable form of communication, which enables connections with colleagues, friends, or people with similar interests, regardless of physical barriers. However, there is also a dark side to the Internet, since an alarming number of adolescents admit they have been victims or bystanders of cyberbullying. In order to make the Internet a safer environment, it is necessary to develop novel methods and software capable of preventing and managing cyberbullying. This chapter reviews existing research in dealing with this phenomenon and discusses current and potential applications of text mining techniques for the detection of cyberbullying.
PB  - IGI Global
T2  - Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance
T1  - Automatic detection of cyberbullying to make internet a safer environment
SP  - 277
EP  - 290
DO  - 10.4018/978-1-4666-6324-4.ch018
ER  - 

@inbook{
author = "Kovačević, Ana and Nikolić, D.",
year = "2014",
abstract = "The Internet has become an inevitable form of communication, which enables connections with colleagues, friends, or people with similar interests, regardless of physical barriers. However, there is also a dark side to the Internet, since an alarming number of adolescents admit they have been victims or bystanders of cyberbullying. In order to make the Internet a safer environment, it is necessary to develop novel methods and software capable of preventing and managing cyberbullying. This chapter reviews existing research in dealing with this phenomenon and discusses current and potential applications of text mining techniques for the detection of cyberbullying.",
publisher = "IGI Global",
journal = "Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance",
booktitle = "Automatic detection of cyberbullying to make internet a safer environment",
pages = "277-290",
doi = "10.4018/978-1-4666-6324-4.ch018"
}

Kovačević, A.,& Nikolić, D.. (2014). Automatic detection of cyberbullying to make internet a safer environment. in Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance
IGI Global., 277-290.
https://doi.org/10.4018/978-1-4666-6324-4.ch018

Kovačević A, Nikolić D. Automatic detection of cyberbullying to make internet a safer environment. in Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance. 2014;:277-290.
doi:10.4018/978-1-4666-6324-4.ch018 .

Kovačević, Ana, Nikolić, D., "Automatic detection of cyberbullying to make internet a safer environment" in Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance (2014):277-290,
https://doi.org/10.4018/978-1-4666-6324-4.ch018 . .

TY  - JOUR
AU  - Kovačević, Aleksandar M.
AU  - Kovačević, Ana
AU  - Stanković, Koviljka Đ.
AU  - Kovačević, Uroš D.
PY  - 2014
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/235
AB  - Electromagnetic radiation of all frequencies represents one of the most common and fastest growing environmental influence. All populations are now exposed to varying degrees of electromagnetic radiation and the levels will continue to increase as technology advances. An electronic or electrical product should not generate electromagnetic radiation which may impact the environment. In addition, electromagnetic radiation measurement results need to be accompanied by quantitative statements about their accuracy. This is particularly important when decisions about product specifications are taken. This paper presents an uncertainty budget for disturbance power measurements of the equipment as part of electromagnetic radiation. We propose a model which uses a mixed distribution for uncertainty evaluation. The evaluation of the probability density function for the measurand has been done using the Monte Carlo method and a modified least-squares method (combined method). For illustration, this paper presents mixed distributions of two normal distributions, normal and rectangular, respectively.
PB  - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
T2  - Nuclear Technology and Radiation Protection
T1  - The combined method for uncertainty evaluation in electromagnetic radiation measurement
VL  - 29
IS  - 4
SP  - 279
EP  - 284
DO  - 10.2298/NTRP1404279K
ER  - 

@article{
author = "Kovačević, Aleksandar M. and Kovačević, Ana and Stanković, Koviljka Đ. and Kovačević, Uroš D.",
year = "2014",
abstract = "Electromagnetic radiation of all frequencies represents one of the most common and fastest growing environmental influence. All populations are now exposed to varying degrees of electromagnetic radiation and the levels will continue to increase as technology advances. An electronic or electrical product should not generate electromagnetic radiation which may impact the environment. In addition, electromagnetic radiation measurement results need to be accompanied by quantitative statements about their accuracy. This is particularly important when decisions about product specifications are taken. This paper presents an uncertainty budget for disturbance power measurements of the equipment as part of electromagnetic radiation. We propose a model which uses a mixed distribution for uncertainty evaluation. The evaluation of the probability density function for the measurand has been done using the Monte Carlo method and a modified least-squares method (combined method). For illustration, this paper presents mixed distributions of two normal distributions, normal and rectangular, respectively.",
publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd",
journal = "Nuclear Technology and Radiation Protection",
title = "The combined method for uncertainty evaluation in electromagnetic radiation measurement",
volume = "29",
number = "4",
pages = "279-284",
doi = "10.2298/NTRP1404279K"
}

Kovačević, A. M., Kovačević, A., Stanković, K. Đ.,& Kovačević, U. D.. (2014). The combined method for uncertainty evaluation in electromagnetic radiation measurement. in Nuclear Technology and Radiation Protection
Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 29(4), 279-284.
https://doi.org/10.2298/NTRP1404279K

Kovačević AM, Kovačević A, Stanković KĐ, Kovačević UD. The combined method for uncertainty evaluation in electromagnetic radiation measurement. in Nuclear Technology and Radiation Protection. 2014;29(4):279-284.
doi:10.2298/NTRP1404279K .

Kovačević, Aleksandar M., Kovačević, Ana, Stanković, Koviljka Đ., Kovačević, Uroš D., "The combined method for uncertainty evaluation in electromagnetic radiation measurement" in Nuclear Technology and Radiation Protection, 29, no. 4 (2014):279-284,
https://doi.org/10.2298/NTRP1404279K . .

TY  - CONF
AU  - Kovačević, Ana
PY  - 2014
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/229
PB  - Fakultet bezbednosti, Beograd
C3  - Modeli unapređenja bezbednosti u obrazovnovaspitnim ustanovama
T1  - Softver za monitoring učenika na internetu
ER  - 

@conference{
author = "Kovačević, Ana",
year = "2014",
publisher = "Fakultet bezbednosti, Beograd",
journal = "Modeli unapređenja bezbednosti u obrazovnovaspitnim ustanovama",
title = "Softver za monitoring učenika na internetu"
}

Kovačević, A.. (2014). Softver za monitoring učenika na internetu. in Modeli unapređenja bezbednosti u obrazovnovaspitnim ustanovama
Fakultet bezbednosti, Beograd..

Kovačević A. Softver za monitoring učenika na internetu. in Modeli unapređenja bezbednosti u obrazovnovaspitnim ustanovama. 2014;..

Kovačević, Ana, "Softver za monitoring učenika na internetu" in Modeli unapređenja bezbednosti u obrazovnovaspitnim ustanovama (2014).

TY  - JOUR
AU  - Kovačević, Aleksandar M.
AU  - Despotović, Dejan D.
AU  - Rajović, Zoran A.
AU  - Stanković, Koviljka Đ.
AU  - Kovačević, Ana
AU  - Kovačević, Uroš D.
PY  - 2013
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/202
AB  - For the evaluation of measurement uncertainty in measuring the conduction emission, in this paper we propose a new model which uses mixed distribution. Evaluation of probability density function for the measurand has been done using Monte Carlo method and a modified least-squares method (combined method). In addition, the number of data n and the number of classes of histogram k which were used for simulation, were varied.
AB  - U radu je predložen jedan novi model za procenu merne nesigurnosti pri merenju kondukcione emisije, koji koristi mešovitu raspodelu. Monte Karlo metoda i modifikovana metoda najmanjih kvadrata (kombinovana metoda) korišćene su za procenu funkcije gustine raspodele merne veličine. Pri tome, variran je broj podataka n i broj klasa histograma k koji su korišćeni za simulaciju.
PB  - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
T2  - Nuclear Technology and Radiation Protection
T1  - Uncertainty evaluation of the conducted emission measurements
T1  - Procena merne nesigurnosti pri merenju kondukcione emisije
VL  - 28
IS  - 2
SP  - 182
EP  - 190
DO  - 10.2298/NTRP1302182K
ER  - 

@article{
author = "Kovačević, Aleksandar M. and Despotović, Dejan D. and Rajović, Zoran A. and Stanković, Koviljka Đ. and Kovačević, Ana and Kovačević, Uroš D.",
year = "2013",
abstract = "For the evaluation of measurement uncertainty in measuring the conduction emission, in this paper we propose a new model which uses mixed distribution. Evaluation of probability density function for the measurand has been done using Monte Carlo method and a modified least-squares method (combined method). In addition, the number of data n and the number of classes of histogram k which were used for simulation, were varied., U radu je predložen jedan novi model za procenu merne nesigurnosti pri merenju kondukcione emisije, koji koristi mešovitu raspodelu. Monte Karlo metoda i modifikovana metoda najmanjih kvadrata (kombinovana metoda) korišćene su za procenu funkcije gustine raspodele merne veličine. Pri tome, variran je broj podataka n i broj klasa histograma k koji su korišćeni za simulaciju.",
publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd",
journal = "Nuclear Technology and Radiation Protection",
title = "Uncertainty evaluation of the conducted emission measurements, Procena merne nesigurnosti pri merenju kondukcione emisije",
volume = "28",
number = "2",
pages = "182-190",
doi = "10.2298/NTRP1302182K"
}

Kovačević, A. M., Despotović, D. D., Rajović, Z. A., Stanković, K. Đ., Kovačević, A.,& Kovačević, U. D.. (2013). Uncertainty evaluation of the conducted emission measurements. in Nuclear Technology and Radiation Protection
Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 28(2), 182-190.
https://doi.org/10.2298/NTRP1302182K

Kovačević AM, Despotović DD, Rajović ZA, Stanković KĐ, Kovačević A, Kovačević UD. Uncertainty evaluation of the conducted emission measurements. in Nuclear Technology and Radiation Protection. 2013;28(2):182-190.
doi:10.2298/NTRP1302182K .

Kovačević, Aleksandar M., Despotović, Dejan D., Rajović, Zoran A., Stanković, Koviljka Đ., Kovačević, Ana, Kovačević, Uroš D., "Uncertainty evaluation of the conducted emission measurements" in Nuclear Technology and Radiation Protection, 28, no. 2 (2013):182-190,
https://doi.org/10.2298/NTRP1302182K . .

TY  - CONF
AU  - Nikolić, D.
AU  - Kovačević, Ana
AU  - Stanković, S.
PY  - 2012
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/165
PB  - Ljubljana : Institute for Corporative Security Studies
PB  - Monterey : Center for Civil-Military Relations
C3  - Managing the consequences of terrorist acts - efficiency and coordination challenges
T1  - Comprehensive approach to tactical response in the case of terrorist acts involving WMD
ER  - 

@conference{
author = "Nikolić, D. and Kovačević, Ana and Stanković, S.",
year = "2012",
publisher = "Ljubljana : Institute for Corporative Security Studies, Monterey : Center for Civil-Military Relations",
journal = "Managing the consequences of terrorist acts - efficiency and coordination challenges",
title = "Comprehensive approach to tactical response in the case of terrorist acts involving WMD"
}

Nikolić, D., Kovačević, A.,& Stanković, S.. (2012). Comprehensive approach to tactical response in the case of terrorist acts involving WMD. in Managing the consequences of terrorist acts - efficiency and coordination challenges
Ljubljana : Institute for Corporative Security Studies..

Nikolić D, Kovačević A, Stanković S. Comprehensive approach to tactical response in the case of terrorist acts involving WMD. in Managing the consequences of terrorist acts - efficiency and coordination challenges. 2012;..

Nikolić, D., Kovačević, Ana, Stanković, S., "Comprehensive approach to tactical response in the case of terrorist acts involving WMD" in Managing the consequences of terrorist acts - efficiency and coordination challenges (2012).

TY  - CONF
AU  - Kovačević, Ana
PY  - 2012
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/164
PB  - Beograd : Fakultet bezbednosti
C3  - Reagovanje na bezbednosne rizike u obrazovno-vaspitnim ustanovama
T1  - Primena web mininga i vizualizacije u otkrivanju sajber nasilja
SP  - 225
EP  - 241
ER  - 

@conference{
author = "Kovačević, Ana",
year = "2012",
publisher = "Beograd : Fakultet bezbednosti",
journal = "Reagovanje na bezbednosne rizike u obrazovno-vaspitnim ustanovama",
title = "Primena web mininga i vizualizacije u otkrivanju sajber nasilja",
pages = "225-241"
}

Kovačević, A.. (2012). Primena web mininga i vizualizacije u otkrivanju sajber nasilja. in Reagovanje na bezbednosne rizike u obrazovno-vaspitnim ustanovama
Beograd : Fakultet bezbednosti., 225-241.

Kovačević A. Primena web mininga i vizualizacije u otkrivanju sajber nasilja. in Reagovanje na bezbednosne rizike u obrazovno-vaspitnim ustanovama. 2012;:225-241..

Kovačević, Ana, "Primena web mininga i vizualizacije u otkrivanju sajber nasilja" in Reagovanje na bezbednosne rizike u obrazovno-vaspitnim ustanovama (2012):225-241.

TY  - JOUR
AU  - Kovačević, Ana
AU  - Devedžić, Vladan
AU  - Pocajt, Viktor
PY  - 2010
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/85
AB  - Purpose This paper aims to propose a solution for recommending digital library services based on data mining techniques (clustering and predictive classification). Design/methodology/approach - Data mining techniques are used to recommend digital library services based on the user's profile and search history. First, similar users were clustered together, based on their profiles and search behavior. Then predictive classification for recommending appropriate services to them was used. It has been shown that users in the same cluster have a high probability of accepting similar services or their patterns. Findings - The results indicate that k-means clustering and Naive Bayes classification may be used to improve the accuracy of service recommendation. The overall accuracy is satisfying, while average accuracy depends on the specific service. The results were better for frequently occurring services. Research limitations/implications - Datasets were used from the KOBSON digital library. Only clustering and predictive classification was applied. If the correlation between the service and the institution were higher, it would have better accuracy. Originality/value - The paper applied different and efficient data mining techniques for clustering digital library users based on their profiles and their search behavior, i.e. users' interaction with library services, and obtain user patterns with respect to the library services they use. A digital library may apply this approach to offer appropriate services to new users more easily. The recommendations will be based on library items that similar users have already found useful.
PB  - Emerald Group Publishing Limited, Bingley
T2  - Electronic Library
T1  - Using data mining to improve digital library services
VL  - 28
IS  - 6
SP  - 829
EP  - 843
DO  - 10.1108/02640471011093525
ER  - 

@article{
author = "Kovačević, Ana and Devedžić, Vladan and Pocajt, Viktor",
year = "2010",
abstract = "Purpose This paper aims to propose a solution for recommending digital library services based on data mining techniques (clustering and predictive classification). Design/methodology/approach - Data mining techniques are used to recommend digital library services based on the user's profile and search history. First, similar users were clustered together, based on their profiles and search behavior. Then predictive classification for recommending appropriate services to them was used. It has been shown that users in the same cluster have a high probability of accepting similar services or their patterns. Findings - The results indicate that k-means clustering and Naive Bayes classification may be used to improve the accuracy of service recommendation. The overall accuracy is satisfying, while average accuracy depends on the specific service. The results were better for frequently occurring services. Research limitations/implications - Datasets were used from the KOBSON digital library. Only clustering and predictive classification was applied. If the correlation between the service and the institution were higher, it would have better accuracy. Originality/value - The paper applied different and efficient data mining techniques for clustering digital library users based on their profiles and their search behavior, i.e. users' interaction with library services, and obtain user patterns with respect to the library services they use. A digital library may apply this approach to offer appropriate services to new users more easily. The recommendations will be based on library items that similar users have already found useful.",
publisher = "Emerald Group Publishing Limited, Bingley",
journal = "Electronic Library",
title = "Using data mining to improve digital library services",
volume = "28",
number = "6",
pages = "829-843",
doi = "10.1108/02640471011093525"
}

Kovačević, A., Devedžić, V.,& Pocajt, V.. (2010). Using data mining to improve digital library services. in Electronic Library
Emerald Group Publishing Limited, Bingley., 28(6), 829-843.
https://doi.org/10.1108/02640471011093525

Kovačević A, Devedžić V, Pocajt V. Using data mining to improve digital library services. in Electronic Library. 2010;28(6):829-843.
doi:10.1108/02640471011093525 .

Kovačević, Ana, Devedžić, Vladan, Pocajt, Viktor, "Using data mining to improve digital library services" in Electronic Library, 28, no. 6 (2010):829-843,
https://doi.org/10.1108/02640471011093525 . .

TY  - JOUR
AU  - Kovačević, Ana
AU  - Devedžić, Vladan
AU  - Pocajt, Viktor
PY  - 2010
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/84
AB  - Purpose - This paper aims to address the problem of enhancing the selection of titles offered by a digital library, by analysing the differences in these titles when they are cited by local authors in their publications and when they are listed in the digital library offer. Design/methodology/approach - Text mining techniques were used to identify duplicate references. Moreover, the process of identifying syntactically different data was improved with the automated discovery of thesauri from correctly matched data, and the generated thesaurus was further used in semantic clustering. The results were effectively visually represented. Findings - The paper finds that the function based on the Jaro-Winkler algorithm may be efficiently used in the de-duplication process. A generated thesaurus that utilises domain-specific knowledge can also be used in the semantic clustering of references. It was shown that semantic clustering may be most useful in partitioning data, which is particularly significant when dealing with large amounts of data, which is usually the case. Moreover, those references that have the same or similar scores may be considered as candidate matches in the further de-duplication process. Finally, it proved to be a more efficient way of visually representing the results. Originality/value - This function can be implemented to enhance the selection of titles to be offered by a digital library, in terms of making that offer more compliant with what the library users frequently cite.
PB  - Emerald Group Publishing Ltd, Bingley
T2  - Program-Electronic Library and Information Systems
T1  - Enhancing a core journal collection for digital libraries
VL  - 44
IS  - 2
SP  - 132
EP  - 148
DO  - 10.1108/00330331011039490
ER  - 

@article{
author = "Kovačević, Ana and Devedžić, Vladan and Pocajt, Viktor",
year = "2010",
abstract = "Purpose - This paper aims to address the problem of enhancing the selection of titles offered by a digital library, by analysing the differences in these titles when they are cited by local authors in their publications and when they are listed in the digital library offer. Design/methodology/approach - Text mining techniques were used to identify duplicate references. Moreover, the process of identifying syntactically different data was improved with the automated discovery of thesauri from correctly matched data, and the generated thesaurus was further used in semantic clustering. The results were effectively visually represented. Findings - The paper finds that the function based on the Jaro-Winkler algorithm may be efficiently used in the de-duplication process. A generated thesaurus that utilises domain-specific knowledge can also be used in the semantic clustering of references. It was shown that semantic clustering may be most useful in partitioning data, which is particularly significant when dealing with large amounts of data, which is usually the case. Moreover, those references that have the same or similar scores may be considered as candidate matches in the further de-duplication process. Finally, it proved to be a more efficient way of visually representing the results. Originality/value - This function can be implemented to enhance the selection of titles to be offered by a digital library, in terms of making that offer more compliant with what the library users frequently cite.",
publisher = "Emerald Group Publishing Ltd, Bingley",
journal = "Program-Electronic Library and Information Systems",
title = "Enhancing a core journal collection for digital libraries",
volume = "44",
number = "2",
pages = "132-148",
doi = "10.1108/00330331011039490"
}

Kovačević, A., Devedžić, V.,& Pocajt, V.. (2010). Enhancing a core journal collection for digital libraries. in Program-Electronic Library and Information Systems
Emerald Group Publishing Ltd, Bingley., 44(2), 132-148.
https://doi.org/10.1108/00330331011039490

Kovačević A, Devedžić V, Pocajt V. Enhancing a core journal collection for digital libraries. in Program-Electronic Library and Information Systems. 2010;44(2):132-148.
doi:10.1108/00330331011039490 .

Kovačević, Ana, Devedžić, Vladan, Pocajt, Viktor, "Enhancing a core journal collection for digital libraries" in Program-Electronic Library and Information Systems, 44, no. 2 (2010):132-148,
https://doi.org/10.1108/00330331011039490 . .

TY  - CONF
AU  - Kovačević, Ana
PY  - 2009
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/58
AB  - The paper proposes matching short forms (abbreviated titles from the citation report) with their corresponding longer ones (journal titles in the digital library). The main problem is that there are often a number of syntactically different abbreviated forms for one abbreviated title in the citation report. We use character- and token-based similarity metrics to identify duplicate records. Also, we improve the process of identifying syntactically different data with the automated discovery of ontological knowledge representations such as thesauri from correctly matched data.
PB  - Boston : Springer
C3  - Web 2.0 & Semantic Web
T1  - Ontology-based data mining in digital libraries
SP  - 163
EP  - 175
DO  - 10.1007/978-1-4419-1219-0_7
ER  - 

@conference{
author = "Kovačević, Ana",
year = "2009",
abstract = "The paper proposes matching short forms (abbreviated titles from the citation report) with their corresponding longer ones (journal titles in the digital library). The main problem is that there are often a number of syntactically different abbreviated forms for one abbreviated title in the citation report. We use character- and token-based similarity metrics to identify duplicate records. Also, we improve the process of identifying syntactically different data with the automated discovery of ontological knowledge representations such as thesauri from correctly matched data.",
publisher = "Boston : Springer",
journal = "Web 2.0 & Semantic Web",
title = "Ontology-based data mining in digital libraries",
pages = "163-175",
doi = "10.1007/978-1-4419-1219-0_7"
}

Kovačević, A.. (2009). Ontology-based data mining in digital libraries. in Web 2.0 & Semantic Web
Boston : Springer., 163-175.
https://doi.org/10.1007/978-1-4419-1219-0_7

Kovačević A. Ontology-based data mining in digital libraries. in Web 2.0 & Semantic Web. 2009;:163-175.
doi:10.1007/978-1-4419-1219-0_7 .

Kovačević, Ana, "Ontology-based data mining in digital libraries" in Web 2.0 & Semantic Web (2009):163-175,
https://doi.org/10.1007/978-1-4419-1219-0_7 . .

TY  - JOUR
AU  - Pocajt, Viktor
AU  - Ševarac, Zoran
AU  - Kovačević, Ana
PY  - 2009
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/38
AB  - This paper presents a method of searching, identifying and cross-referencing metal alloys based on their chemical composition and/or mechanical properties, typically obtained by analysis and tests. The method uses a general pattern similar to the approach of a human expert, and relies on a classification of metals based on metallurgical expertise and fuzzy logic for identifying metals and comparing their chemical and mechanical properties. The algorithm has been tested and deployed in real applications for fast metal identification and finding of unknown equivalents, by the leading companies in the field. The same principles can also be used in other domains for similar problems, such as organic and inorganic materials identification and generic drugs comparison. Copyright (C) 2009 John Wiley & Sons, Ltd.
PB  - John Wiley & Sons Ltd, Chichester
T2  - Journal of Chemometrics
T1  - SmartMetals: a new method for metal identification based on fuzzy logic
VL  - 23
IS  - 11-12
SP  - 555
EP  - 561
DO  - 10.1002/cem.1251
ER  - 

@article{
author = "Pocajt, Viktor and Ševarac, Zoran and Kovačević, Ana",
year = "2009",
abstract = "This paper presents a method of searching, identifying and cross-referencing metal alloys based on their chemical composition and/or mechanical properties, typically obtained by analysis and tests. The method uses a general pattern similar to the approach of a human expert, and relies on a classification of metals based on metallurgical expertise and fuzzy logic for identifying metals and comparing their chemical and mechanical properties. The algorithm has been tested and deployed in real applications for fast metal identification and finding of unknown equivalents, by the leading companies in the field. The same principles can also be used in other domains for similar problems, such as organic and inorganic materials identification and generic drugs comparison. Copyright (C) 2009 John Wiley & Sons, Ltd.",
publisher = "John Wiley & Sons Ltd, Chichester",
journal = "Journal of Chemometrics",
title = "SmartMetals: a new method for metal identification based on fuzzy logic",
volume = "23",
number = "11-12",
pages = "555-561",
doi = "10.1002/cem.1251"
}

Pocajt, V., Ševarac, Z.,& Kovačević, A.. (2009). SmartMetals: a new method for metal identification based on fuzzy logic. in Journal of Chemometrics
John Wiley & Sons Ltd, Chichester., 23(11-12), 555-561.
https://doi.org/10.1002/cem.1251

Pocajt V, Ševarac Z, Kovačević A. SmartMetals: a new method for metal identification based on fuzzy logic. in Journal of Chemometrics. 2009;23(11-12):555-561.
doi:10.1002/cem.1251 .

Pocajt, Viktor, Ševarac, Zoran, Kovačević, Ana, "SmartMetals: a new method for metal identification based on fuzzy logic" in Journal of Chemometrics, 23, no. 11-12 (2009):555-561,
https://doi.org/10.1002/cem.1251 . .