Topics of interest include, but are not limited to:
Theoretical Foundations
- Probabilistic and Statistical Models and Theories
- Learning Theory
- Optimization Methods
- Data Compression and Sampling
- Statistical Learning
- Evolutionary Computation
- Operating Systems
- Compiler Design
- Computer Education
- Deep Learning
- Financial Modeling
- Forecasting
- Classification
- Clustering
- Learning Classifiers
- Parallel and Distributed Learning
- Scientific Data and Big Data Analytics
- Artificial Intelligence
- Scalable Analysis and Learning
- Educational Data Mining
- Data Pre-Processing, Sampling and Reduction
- High Dimensional Data, Feature Selection and Feature Transformation
- High Performance Computing for Data Analytics
- Architecture, Management and Process for Data Science
Machine Learning and Knowledge Discovery
- Knowledge Discovery Theories, Models and Systems
- Human-Machine İnteraction For Knowledge Discovery and Management
- Biomedical Knowledge Discovery, Analysis of Micro-Array and Gene Deletion Data
- Machine Learning for High-Performance Computing
- Learning for Streaming Data
- Machine Learning Over The Cloud
- Knowledge Based Neural Networks
- Spatial/Temporal Data
- Knowledge Discovery from Heterogeneous, Unstructured and Multimedia Data
- Knowledge Discovery in Network And Link Data
- Knowledge Discovery in Social Networks
- Data And Knowledge Visualization
- Cross Media Data Analytics
- Big Data Visualization, Modeling and Analytics
- Multimedia/Stream/Text/Visual Analytics
- Database Technology
Computational Data Science
- Databases
- Big Data
- Computational Theories for Big Data Analysis
- Computational Intelligence for Pattern Recognition and Medical Imaging
- Incremental Learning – Theory, Algorithms And Applications in Big Data
- Sparse Data, Feature Selection and Feature Transformation
- Intelligent Information Retrieval
- Probabilistic And İnformation-Theoretic Methods
- Support Vector Machines and Kernel Methods
- Time Series Analysis
- High Performance/Parallel Computing
- Search and Mining
- Process Mining
- Data Acquisition, Integration, Cleaning
- Data Visualizations
- Semantic Based Data Mining
- Data Wrangling
- Decision Making from İnsights, Hidden Patterns
- Optimization for Data Analytics
- Computer Architecture for Data Analytics
- Computer Graphics for Data Analytics
- Computer Application for Data Analytics
Applications
- Bioinformatics Applications
- Biometrics Applications
- Biomedical Informatics Applications
- Computational Neuroscience Applications
- Information Retrieval Applications
- Healthcare Applications
- Collaborative Filtering Applications
- Human Activity Recognition Applications
- Natural Language Processing Applications
- Web Search Applications
- Image Analysis Applications
- Parallel and Distributed Data Applications
- Data Streams Mining Applications
- Graph Mining Applications
- Spatial Data Mining Applications
- Multimedia Data Mining Applications
- Pre-Processing Techniques Applications
- Data And Information Networks Applications
- Data And Information Privacy and Security Applications
- Data And Information Semantics Applications
- Data Management in Smart Grid Applications
- Data Mining Algorithms Applications
- Data Mining Systems Applications
- Data Structures and Data Management Applications
- Database and Information System Performance Applications
- Electronic Commerce and Web Technologies Applications
- Electronic Government & Eparticipation Applications
- Sensor Data Management Applications
- Database Systems & Applications
- Statistical and Scientific Databases Applications
- Temporal, Spatial and High Dimensional Databases
- Security and Information Assurance
- Soft Computing
- Software Engineering
- Web and Internet Computing
- Theoretical Computer Science
- Natural Language Processing Applications
- Information Technology Management
- Modeling and Simulation
- Material Characterization and Performance Analysis
