About the Journal

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