2026 5th International Conference on Algorithms, Data Mining, and Information Technology (ADMIT 2026)

Track 1: Algorithm Design and Analysis
Graph and combinatorial algorithms
Approximation, randomized, and parameterized algorithms
Online and streaming algorithms
Algorithmic game theory and mechanism design
Optimization algorithms (convex, metaheuristic, nature-inspired)
Parallel, distributed, and quantum algorithms

Track 2: Data Mining and Knowledge Discovery
Association rule mining and pattern discovery
Clustering, classification, and regression methods
Sequential and temporal data mining
Graph mining and social network analysis
Text mining, web mining, and information retrieval
Anomaly detection and outlier analysis

Track 3: Machine Learning and Artificial Intelligence
Deep learning architectures (CNNs, RNNs, Transformers)
Reinforcement learning and transfer learning
Generative models and representation learning
Explainable and fair machine learning
Few-shot, zero-shot, and federated learning
AI for data mining and big data analytics

Track 4: Information Systems and Big Data Technologies
Big data storage, processing, and querying (Hadoop, Spark, Flink)
Data integration, cleaning, and quality management
Distributed databases and NoSQL systems
Cloud and edge computing for information systems
Data lakes, data warehouses, and data governance
High-performance computing and data-intensive applications

Track 5: Applications and Emerging IT Trends
Recommendation systems and personalization
Social media analytics and sentiment analysis
Bioinformatics, healthcare, and biomedical data mining
Financial data analysis and fraud detection
Cybersecurity, privacy-preserving data mining
IoT data analytics and smart city applications