Titlebook: Business Analytics and Decision Making in Practice; Proceedings of the I Ali Emrouznejad,Panagiotis D. Zervopoulos,John Ric Conference proc

Mundane

,NER-IPL: Indian Legal Prediction Dataset for?Named Entity Recognition,R tasks using language models. All the different experiments with scores, detailed analysis, and the scope of improvements are elaborated in detail. Amongst the experimented baseline models, the InLegalBERT model gives the best F1 score of 0.67 on our dataset.

Decimate

,Benchmarking Machine Learning Algorithms to?Predict Profitability Directional Changes,ls and underlining the necessity of different data sources. Future research could explore machine learning for metrics of profitability in levels and assess the value relevance of raw accounting items. This research aligns with literature while providing fresh insights into predictive modeling in fi

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豐富

UAE Stock Markets Prediction: Machine Learning Application,s study determines interesting patterns. When dissecting the stock markets in Dubai and Abu Dhabi separately, the outcomes distinctly indicate a distinct dependence on Qatar, Oman, Bahrain, and Kuwait in both markets. Notably, Dubai exhibits a discernible dependence on the Chinese and Saudi Arabian

Confirm

The Drivers of Port Productivity for Selected Indian Ocean Ports Using the Malmquist Productivity Index. The period of examination is from 2008–2018. The results indicated that over the period of 2008 to 2018 the port of Port Louis achieved an annual average productivity gain of 0.91 whilst the Port of Victoria achieved 0.95. The drivers of productivity being tilted more towards technology change

Indelible

The Technical Efficiency of Farms, Its Decomposition into Input Components, and Their Socioeconomicmanage their resources differently based on their level of knowledge and understanding of resource utilization, according to the input decomposition. The efficient group seemed to be socioeconomically the youngest, most educated, having the largest percentage of family members, having less experienc

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Gobble

故意釣到白楊

Can Machine Learning Enhance the Forecasting of Herding Behavior in International Stock Markets?,tional regression methods in prediction accuracy due to its advanced algorithms and ability to understand complex robust data patterns. Machine learning captures nonlinear relationships, revealing herding behavior causes Our research has two main consequences. It shows that market conditions impact

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