2nd International Conference on AI, Data Mining and Data Science (AIDD 2024)

Topics

• Data Mining
  • Big Data security
  • Bayesian Network
  • Consistent Data Model
  • Classification, Regression, Clustering & Association rules
  • Data Mining Applications
  • Data and Knowledge Representation
  • Data Streams Mining, Graph Database & Mining, Spatial Data Mining
  • Data mining in Medical Informatics
  • Deep Learning
  • Databases & Financial Modelling
  • Disaster prediction and Management
  • Dimensionality reduction
  • Exploring Data Analysis
  • Educational Data Mining
  • Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge
  • Forecasting, Classification, Clustering
  • Integrating Constraints and Knowledge in the KDD Process
  • Infrastructures for Big Data
  • Interactive Data Exploration / Visualization and Discovery
  • Integration of Data Warehousing
  • Knowledge Processing
  • Knowledge Discovery Framework and Process, Including Pre- and Post-Processing
  • Learning in Knowledge-intensive Systems
  • Languages and Interfaces for Data Mining
  • Machine Learning Applications
  • Learning Problems
  • Mining from Low-Quality Information Sources
  • Machine Learning
  • OLAP and Data Mining
  • Mining Trends, Opportunities and Risks
  • Parallel and Distributed Data Mining Algorithms
  • Operations Research
  • Reasoning and Evolution
  • Pre-Processing Techniques, Visualization
  • Security and Information Hiding in Data Mining
  • Robotics
  • Social Networks, Educational Data Mining
  • Semantic Web Techniques and Technologies
  • Statistical Techniques for Generation a Robust
  • Soft Computing Theory and Applications
  • Web Intelligence Applications & Search
  • Text video, Multimedia Data Mining, Web Mining
• Artificial Intelligence
  • Automatic Control
  • AI Algorithms, Tools & Applications
  • Bioinformatics
  • Bayesian Network Data Mining
  • Classification, Regression, Clustering & Association Rules
  • CAD Design & Testing
  • Computer Vision and Speech Understanding
  • Computational Theories of Learning
  • Data Mining Applications
  • Data Mining and Machine Learning Tools
  • Deep Learning
  • Data mining in Medical Informatics
  • Disaster prediction and Management
  • Dimensionality reduction
  • Enterprise and Business Data Management
  • Educational Data Mining
  • Fuzzy Logic
  • Feature selection and Data Cleansing
  • Hybrid Intelligent Systems
  • Heuristic and AI Planning Strategies and Tools
  • Knowledge Processing
  • Intelligent System Architectures
  • Knowledge-based Systems
  • Knowledge Representation
  • Multimedia & Cognitive Informatics
  • Machine Learning
  • Neural Networks
  • Natural Language Processing
  • Pervasive Computing and Ambient Intelligence
  • Pattern Recognition
  • Robotics
  • Reasoning and Evolution
  • Soft Computing Theory and Applications
  • Semantic Web Techniques and Technologies
  • Data Science
  • Web Intelligence Applications & Search
  • Big Data Management and Frameworks
  • Big Data Fundamentals and Applications Internet of Things (IoT)
  • Information Retrieval
  • Big Data Search
  • Outlier Analysis
  • Large-scale Data mining
  • Visual data mining
  • Statistics for intelligent data Analysis