Papers by Eman Abd El-aziz
IEEE access, 2024
Detecting anomalous executions in business process data is crucial for safeguarding the efficienc... more Detecting anomalous executions in business process data is crucial for safeguarding the efficiency and success of an organization. Unsupervised approaches are commonly used for business process anomaly detection because of the scarcity of labeled anomaly data. However, these approaches often encounter a notable decline in performance because they lack prior knowledge about the anomalies. Additionally, most of them do not perform root cause analysis on the detected anomalies. This study proposes a variational autoencoder-based approach to overcome the performance limitations of existing unsupervised methods and determine the root causes of the detected anomalies. The learning of the variational autoencoder from unlabeled business process data is enhanced in the proposed approach by leveraging different architectural components, namely, the entity embedding technique, the bidirectional long short-term memory network, and the self-attention mechanism. Combining these architectural components in the variational autoencoder architecture leads to learning high-level representations from the business process data and thus improving the reconstruction capability of the variational autoencoder. Furthermore, this study suggests feeding the reconstruction error provided by the variational autoencoder into the logistic regression classifier to improve the accuracy of anomaly detection. The performance of the proposed model was evaluated on real-life and synthetic datasets. The experimental findings indicate that the proposed model outperforms six existing anomaly detection models in terms of precision, recall, and F1-score metrics.
This paper aims to develop a GIS-based decision support system to help in improving the police pe... more This paper aims to develop a GIS-based decision support system to help in improving the police personnel response to crimes. The system aids the police personnel to get critical spatial and non-spatial information. The system can identify the nearest police stations to the crime location, and also determine the shortest route from the selected police station to the crime location. Moreover, in case of the criminal escape, the system identifies the escape area and possible escape routes of the criminal, and the nearest police stations within the escape area. A geodatabase is designed to include data layers of major and minor roads, police stations and security centers. The development of the system is carried out using ArcGIS 10 with network analyst and spatial analyst extensions. ArcGIS provides its own application programming in the form of Visual Basic for Applications (VBA) to build the user interface. Results show that the proposed system is useful in rapid response and criminal...
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Papers by Eman Abd El-aziz