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

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)

Application of Apriori Algorithm for CRM Improvement - Case Study from Montenegro. - Milena Djukanovic; Suncica Rogic; Lazar Novicevic; Vesna Popovic-Bugarin; Mihailo Jovanovic (ICCTA, 2022)

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)