Aims and Scope

The IJDASEA International Journal of Data Science, Engineering, and Analytics publishes original papers in the field of computer science which covers the following scope:

Data Science:

• Data collection and integration
• Data cleaning and preprocessing
• Data analysis and exploration
• Machine learning and predictive modeling
• Data visualization and communication
• Data-driven decision making
• Ethical and privacy considerations

Data Engineering:

• Designing data infrastructure and systems
• Data pipeline development and management
• Database design and management
• Data integration and ETL (Extract, Transform, Load) processes
• Data quality assurance and monitoring
• Scalable and efficient data storage solutions
• Data governance and security

Data Analytics:

• Statistical analysis and hypothesis testing
• Exploratory data analysis
• Descriptive and diagnostic analytics
• Predictive analytics and forecasting
• Prescriptive analytics and optimization
• Advanced data mining techniques
• Pattern recognition and anomaly detection

Big Data:

• Handling and processing large volumes of data
• Distributed computing and parallel processing
• Scalable storage and retrieval mechanisms
• Big data frameworks and technologies (e.g., Hadoop, Spark)
• Real-time and stream processing
• Big data analytics and insights extraction
• Data visualization for big data

Artificial Intelligence:

• Machine learning algorithms and techniques
• Deep learning and neural networks
• Natural language processing and understanding
• Computer vision and image recognition
• Robotics and autonomous systems
• Knowledge representation and reasoning
• Cognitive computing and intelligent systems