A model for data mining system in financial crisis management based on data warehouse concept. - Ljiljana Kascelan; Dragana Becejski-Vujaklija (Comput. Sci. Inf. Syst., 2005)

Data mart design for managing IT department in a telecommunications company. - Jasna Mirkovic; Ljiljana Kascelan (MIPRO, 2012)

A Data Mining Approach for Risk Assessment in Car Insurance: Evidence from Montenegro. - Ljiljana Kascelan; Vladimir Kascelan; Milijana Novovic-Buric (Int. J. Bus. Intell. Res., 2014)

Hybrid support vector machine rule extraction method for discovering the preferences of stock market investors: Evidence from Montenegro. - Ljiljana Kascelan; Vladimir Kascelan; Miomir Jovanovic (Intell. Autom. Soft Comput., 2015)

Component-Based Decision Trees: Empirical Testing on Data Sets of Account Holders in the Montenegrin Capital Market. - Ljiljana Kascelan; Vladimir Kascelan (Int. J. Oper. Res. Inf. Syst., 2015)

Customer Value Prediction in Direct Marketing Using Hybrid Support Vector Machine Rule Extraction Method. - Suncica Rogic; Ljiljana Kascelan (ADBIS (Short Papers and Workshops), 2019)

Discovering the determinants and predicting the degree of e-business diffusion using the decision tree method: evidence from Montenegro. - Biljana Rondovic; Ljiljana Kascelan; Vujica Lazovic; Tamara Durickovic (Inf. Technol. Dev., 2019)

Drivers of E-Business Diffusion in Tourism: A Decision Tree Approach. - Biljana Rondovic; Tamara Djurickovic; Ljiljana Kascelan (J. Theor. Appl. Electron. Commer. Res., 2019)

Bank CRM Optimization Using Predictive Classification Based on the Support Vector Machine Method. - Vladimir Djurisic; Ljiljana Kascelan; Suncica Rogic; Boban Melovic (Appl. Artif. Intell., 2020)

Internet Usage Patterns and Gender Differences: A Deep Learning Approach. - Dijana Kovacevic; Ljiljana Kascelan (IEEE Consumer Electron. Mag., 2020)

Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning. - Suncica Rogic; Ljiljana Kascelan (Comput. Sci. Inf. Syst., 2021)

Segmentation Approach for Athleisure and Performance Sport Retailers Based on Data Mining Techniques. - Suncica Rogic; Ljiljana Kascelan (Int. J. E Serv. Mob. Appl., 2021)

Customer Response Modeling Using Ensemble of Balanced Classifiers: Significance of Web Metrics. - Suncica Rogic; Ljiljana Kascelan (SAI (1), 2022)

Automatic customer targeting: a data mining solution to the problem of asymmetric profitability distribution. - Suncica Rogic; Ljiljana Kascelan; Vladimir Kascelan; Vladimir Durisic (Inf. Technol. Manag., 2022)

Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine. - Suncica Rogic; Ljiljana Kascelan; Mirjana Pejic Bach (J. Theor. Appl. Electron. Commer. Res., 2022)

Decoding Customer Behaviour: Relevance of Web and Purchasing Behaviourin Predictive Response Modeling. - Suncica Rogic; Ljiljana Kascelan (AIAI (1), 2023)

Simulation of disequilibrium and chaos in aggregates of disposable income, wealth, and consumption in EU macroeconomics using nonlinear dynamic analysis. - Damir V. Sindik; Vladimir Kascelan; Ljiljana Kascelan (Simul., 2023)

Global Clustering of COVID-19 Impact: A Data-Driven Analysis Using K-Means. - Ljiljana Kascelan; Dzenana Durkovic; Stevan Duric; Suncica Vukovic (AIAI (1), 2025)