Ljiljana Kašćelan

dr Ljiljana Kašćelan

redovni profesor | Ekonomski fakultet

Prof. dr Ljiljana Kašćelan- Biografija sa bibliografijom   Biografija Rođena je 30.08.1968. godine u Beranama gdje je završila osnovnu školu i gimnaziju sa odličnim uspjehom i diplomom “Luča”. Studije na Prirodno-matematičkom fakultetu Univerziteta Crne Gore (odsjek Matematika- smjer Računari) započela je 1987. godine a diplomirala 1992. godine. Poslijediplomske studije na Elektrotehničkom fakultetu Univerziteta Crne Gore (smjer...

Izabrane publikacije

Godina Kategorija Autori Naslov Izvor
2019SCI, SCIE, SSCI, A&HCI
Rondovic, B., Djurickovic, T., Kascelan, Lj.Drivers of E-Business Diffusion in Tourism: A Decision Tree ApproachJournal of Theoretical and Applied Electronic Commerce Research
2019SCI, SCIE, SSCI, A&HCI
Lipovina M., Kašćelan Lj., Kašćelan VA Support Vector Machine approach for predicting progress toward environmental sustainability from information and communication technology and human developmentEnvironmental and Ecological Statistics
2017SCI, SCIE, SSCI, A&HCI
Rondović, B., Kašćelan, Lj., Lazović, V., & Đuričković, T.Discovering the determinants and predicting the degree of e-business diffusion using the decision tree method: evidence from MontenegroInformation Technology for Development
2017SCI, SCIE, SSCI, A&HCI
Jovanović M., Kašćelan LJ., Joksimović M., Kašćelan V. Decision tree analysis of wine consumers’ preferences: evidence from an emerging marketBritish Food Journal
2016SCI, SCIE, SSCI, A&HCI
Vladimir Kašćelan, Ljiljana Kašćelan i Milijana Novović- BurićA nonparametric data mining approach for risk prediction in car insurance: a case study from the Montenegrin marketEconomic Research, Taylor & Francis
2015SCI, SCIE, SSCI, A&HCI
Jovanović M., Kašćelan LJ., Despotović A., Kašćelan V. The Impact of Agro-Economic Factors on GHG Emissions: Evidence from European Developing and Advanced EconomiesSustainability
2015SCI, SCIE, SSCI, A&HCI
Kašćelan Lj, Kašćelan V, Jovanović MHybrid Support Vector Machine Rule Extraction Method for Discovering the Preferences of Stock Market Investors: Evidence from MontenegroIntelligent Automation & Soft Computing, Taylor&Francis
2014SCI, SCIE, SSCI, A&HCI
Kašćelan Lj, Kašćelan V, Jovanovic MAnalysis of Investors’ Preferences in the Montenegro Stock Market Using Data Mining TechniquesEconomic Research, Taylor&Francis
2005SCI, SCIE, SSCI, A&HCI
Kašćelan Ljiljana, Bečejski Vujaklija DraganaA Model for Data Minig System in Financial Crisis Management Based on Data Warehouse ConceptComSIS

Obavjestenja iz nastave