4th International Conference on Algorithms, Data Mining, and Information Technology (ADMIT 2025)

Topics

• Data Mining:
  • Grand challenges of data mining
  • Data mining foundations
  • Mining on data streams
  • Parallel and distributed data mining algorithms
  • Spatial data mining
  • Graph and subgraph mining
  • Web mining
  • Text, video, multimedia data mining
  • Interactive data mining
  • High performance data mining algorithms
  • Data mining visualization
  • Data-mining-ready structures and pre-processing
  • Competitive analysis of mining algorithms
  • Information hiding in data mining
  • Scalable data preprocessing
  • Security and privacy issues
  • Data mining systems in finance and e-commerce
  • Methodologies on large-scale data mining
  • Uncertainty Modeling in Data Mining
• Algorithms:
  • Ant colony algorithm
  • Analysis of algorithms
  • Combinatorial search
  • Approximation algorithm
  • Computability theory
  • Competitive analysis
  • Embarrassingly parallel problem
  • Computational complexity theory
  • Evolutionary algorithm
  • Emergent algorithm
  • Graph exploration algorithm
  • Genetic algorithm
  • Monte Carlo algorithm
  • Las Vegas algorithm
  • Quantum algorithm
  • Polynomial time approximation scheme
  • Search algorithm
  • Randomized algorithm
  • Super-recursive algorithm
• Information Technology:
  • Business Strategy and Information Technology
  • Accounting and Financial Information Systems
  • Machine learning and AI
  • Bioinformatics and Computational Biology
  • Information Theory
  • Hardware and Software Co-design
  • Information and System Security
  • Information & Knowledge
  • IT-enabled business changes
  • E-commerce and m-commerce
  • Social implications of advanced information technologies
  • Image and Signal Processing
  • Soft Computing and Intelligent Systems
  • Pattern Recognition and Information Retrieval
  • IT Software Development and Methodology
  • Business applications of advanced information technologies
  • Other Industrial Applications
  • IT Applications for Agriculture Management
  • The Latest Advances in IT