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ORCIDLjiljana Kascelan
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Journal Articles
- 2023
[j13]Damir V. Sindik
, Vladimir Kascelan, Ljiljana Kascelan:
Simulation of disequilibrium and chaos in aggregates of disposable income, wealth, and consumption in EU macroeconomics using nonlinear dynamic analysis. Simul. 99(2): 137-167 (2023)- 2022
- [j12]Suncica Rogic, Ljiljana Kascelan, Vladimir Kascelan, Vladimir Durisic:
Automatic customer targeting: a data mining solution to the problem of asymmetric profitability distribution. Inf. Technol. Manag. 23(4): 315-333 (2022) - [j11]Suncica Rogic, Ljiljana Kascelan, Mirjana Pejic Bach:
Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine. J. Theor. Appl. Electron. Commer. Res. 17(3): 1003-1018 (2022) - 2021
- [j10]Suncica Rogic, Ljiljana Kascelan:
Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning. Comput. Sci. Inf. Syst. 18(3): 893-925 (2021) - [j9]Suncica Rogic, Ljiljana Kascelan:
Segmentation Approach for Athleisure and Performance Sport Retailers Based on Data Mining Techniques. Int. J. E Serv. Mob. Appl. 13(3): 71-85 (2021) - 2020
- [j8]Vladimir Djurisic, Ljiljana Kascelan, Suncica Rogic, Boban Melovic:
Bank CRM Optimization Using Predictive Classification Based on the Support Vector Machine Method. Appl. Artif. Intell. 34(12): 941-955 (2020) - [j7]Dijana Kovacevic, Ljiljana Kascelan:
Internet Usage Patterns and Gender Differences: A Deep Learning Approach. IEEE Consumer Electron. Mag. 9(6): 105-114 (2020) - 2019
- [j6]Biljana Rondovic, Ljiljana Kascelan, Vujica Lazovic, Tamara Durickovic:
Discovering the determinants and predicting the degree of e-business diffusion using the decision tree method: evidence from Montenegro. Inf. Technol. Dev. 25(2): 304-333 (2019) - [j5]Biljana Rondovic, Tamara Djurickovic, Ljiljana Kascelan:
Drivers of E-Business Diffusion in Tourism: A Decision Tree Approach. J. Theor. Appl. Electron. Commer. Res. 14(1) (2019) - 2015
- [j4]Ljiljana Kascelan, Vladimir Kascelan, Miomir Jovanovic:
Hybrid support vector machine rule extraction method for discovering the preferences of stock market investors: Evidence from Montenegro. Intell. Autom. Soft Comput. 21(4): 503-522 (2015) - [j3]Ljiljana Kascelan, Vladimir Kascelan:
Component-Based Decision Trees: Empirical Testing on Data Sets of Account Holders in the Montenegrin Capital Market. Int. J. Oper. Res. Inf. Syst. 6(4): 1-18 (2015) - 2014
- [j2]Ljiljana Kascelan, Vladimir Kascelan, Milijana Novovic-Buric:
A Data Mining Approach for Risk Assessment in Car Insurance: Evidence from Montenegro. Int. J. Bus. Intell. Res. 5(3): 11-28 (2014) - 2005
- [j1]Ljiljana Kascelan, Dragana Becejski-Vujaklija:
A model for data mining system in financial crisis management based on data warehouse concept. Comput. Sci. Inf. Syst. 2(1): 43-62 (2005)
Conference and Workshop Papers
- 2023
- [c4]Suncica Rogic, Ljiljana Kascelan:
Decoding Customer Behaviour: Relevance of Web and Purchasing Behaviourin Predictive Response Modeling. AIAI (1) 2023: 369-380 - 2022
- [c3]Suncica Rogic, Ljiljana Kascelan:
Customer Response Modeling Using Ensemble of Balanced Classifiers: Significance of Web Metrics. SAI (1) 2022: 433-448 - 2019
- [c2]Suncica Rogic, Ljiljana Kascelan:
Customer Value Prediction in Direct Marketing Using Hybrid Support Vector Machine Rule Extraction Method. ADBIS (Short Papers and Workshops) 2019: 283-294 - 2012
- [c1]Jasna Mirkovic, Ljiljana Kascelan:
Data mart design for managing IT department in a telecommunications company. MIPRO 2012: 1635-1640
Coauthor Index
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