| Session | ||
Session 4.03: A Comprehensive Business Intelligence Analysis for Cryptocurrency Anomalies Detection
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| Presentations | ||
A Comprehensive Business Intelligence Analysis for Cryptocurrency Anomalies Detection SCE Shamoon College of Engineering Cryptocurrencies exhibit high volatile behavior and observable anomaly effects, yet systematic anomaly detection within these markets remains underexplored. This study introduces a tailored Business Intelligence (BI) system for cryptocurrency anomaly detection. Leveraging advanced analytics and visualization, our novel BI system provides a comprehensive and real-time overview of market behaviors, enabling swift identification of cryptocurrency price anomalies. Our unique system empowers users to navigate the dynamic cryptocurrency trading, enhancing anomaly detection informed decision-making and risk management. | ||