A5055440705- Neural Networks and Applications
- Bayesian Methods and Mixture Models
- Complex Systems and Time Series Analysis
- Time Series Analysis and Forecasting
- Scientific Research and Discoveries
- Seismic Imaging and Inversion Techniques
- Probability and Risk Models
- advanced mathematical theories
- Morphological variations and asymmetry
- Semantic Web and Ontologies
- Point processes and geometric inequalities
- Service-Oriented Architecture and Web Services
- Metaheuristic Optimization Algorithms Research
- Data Management and Algorithms
- Stochastic processes and financial applications
- Business Process Modeling and Analysis
- Material Science and Thermodynamics
- Statistical Mechanics and Entropy
British University in Egypt
2017
Mansoura University
2001-2009
Damietta University
2001-2009
Process mining (PM) is an emerging research discipline that concerned with obtaining fact-based insights on how business processes are executed within organization. It combines model-based and data-oriented analysis techniques to discover, monitor improve by extracting knowledge from event logs generated stored in information systems. When process applied educational data, they often referred as Educational Mining (EPM), different case studies EPM results were promising. This paper presents...
Let X(t) (t Z) be a discrete stable random field.The problem of estimating the spectral density field based on is considered.Moments and asymptotic moments sample, periodogram, are calculated.