Machine learning models for evaluating the benefits of business intelligence systems

Aburomman, 2019, A vector-based classification approach for remaining time prediction in business processes, IEEE Access, 7, 128198, 10.1109/ACCESS.2019.2939631 Ahmad, 2021, Statistical assessment of business intelligence system adoption model for sustainable textile and apparel industry, IEEE Access, 9, 106560, 10.1109/ACCESS.2021.3100410 Berges, 2021, A framework for strategic intelligence systems applied to education management: A pilot study in the community of Madrid, IEEE Access, 9, 75313, 10.1109/ACCESS.2021.3081734 Cao, 2020, Integrating multisourced texts in online business intelligence systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50, 1638, 10.1109/TSMC.2017.2710161 Catal, 2019, Benchmarking of regression algorithms and time series analysis techniques for sales forecasting, Balk. J. Electr. Comput. Eng., 7, 20, 10.17694/bajece.494920 Ferro-Díez, 2020, Location data analytics in the business value chain: A systematic literature review, IEEE Access, 8, 204639, 10.1109/ACCESS.2020.3036835 García-García, 2021, gPROFIT: a tool to assist the automatic extraction of business knowledge from legacy information systems, IEEE Access, 9, 94934, 10.1109/ACCESS.2021.3093356 Khan, 2020, Effective demand forecasting model using business intelligence empowered with machine learning, IEEE Access, 8, 116013, 10.1109/ACCESS.2020.3003790 Khan, 2020, Effective demand forecasting model using business intelligence empowered with machine learning, IEEE Access, 8, 116013, 10.1109/ACCESS.2020.3003790 Kongar, 2021, Impact of social media marketing on business performance: A hybrid performance measurement approach using data analytics and machine learning, IEEE Eng. Manag. Rev., 49, 133, 10.1109/EMR.2021.3055036 Lin, 2021, Stock trend prediction using candlestick charting and ensemble machine learning techniques with a novelty feature engineering scheme, IEEE Access, 9, 101433, 10.1109/ACCESS.2021.3096825 Luce, 2019, Deep learning and demand forecasting, 155 Mao, 2021, Optimization of the medical service consultation system based on the artificial intelligence of the internet of things, IEEE Access, 9, 98261, 10.1109/ACCESS.2021.3096188 Polančič, 2020, An empirical investigation of the effectiveness of optical recognition of hand-drawn business process elements by applying machine learning, IEEE Access, 8, 206118, 10.1109/ACCESS.2020.3034603 Ponnan, 2021, An artificial intelligence-based quorum system for the improvement of the lifespan of sensor networks, IEEE Sensors Journal, 21, 17373, 10.1109/JSEN.2021.3080217 Syrdal, 2018, Engagement with social media content: A qualitative exploration, Journal of Marketing Theory and Practice, 26, 4, 10.1080/10696679.2017.1389243 Tajudeen, 2018, Understanding the impact of social media usage among organizations, Information & Management, 55, 308, 10.1016/j.im.2017.08.004 Williams, 2022, Critical success factors of business intelligence systems implementation, IEEE Engineering Management Review, 50, 88, 10.1109/EMR.2022.3197096 Yeh, 2020, System error prediction for business support systems in telecommunications networks, IEEE Transactions on Parallel and Distributed Systems, 31, 2723, 10.1109/TPDS.2020.3001593 Zou, 2022, Business failure prediction based on a cost-sensitive extreme gradient boosting machine, IEEE Access, 10, 42623, 10.1109/ACCESS.2022.3168857