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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

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Session Overview

Session

Session 4.03: A Comprehensive Business Intelligence Analysis for Cryptocurrency Anomalies Detection

Time:

Tuesday, 26/Aug/2025:

10:00am - 10:30am

Location: Tosca Conference hall

Meeting hall “Tosca”, which can accommodate up to 60 people

Presentations

A Comprehensive Business Intelligence Analysis for Cryptocurrency Anomalies Detection

Prof. Dima Alberg, Prof. Elroi Hadad

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.