★Full Name: 6th International Conference on Data Science and Applications
★Abbreviation: (ICONDATA'24)
★Website: https://www.icondata.org/en/
★Date: September 2-6, 2024
★Place: Pristina, Kosovo
★Sponsored by: AAB College, Yalova University, Isparta University of Applied Sciences, Istanbul Esenyurt University, Sakarya University of Applied Sciences, Bilecik Şeyh Edebali University and Muğla Sıtkı Koçman University


★All paper submissions will be double-blind and peer-reviewed and evaluated based on originality, technical, research content, correctness, relevance to conference, contributions, and readability. Papers accepted as abstract text and full text after the review stage will be published in our full text paper book and abstract text papers book. In addition, the best 20 paper determined by the committee will be published in Data Science and Applications and Data Science (Veri Bilimi) journals which are contracted as articles.

★Early Registration Deadline:
June 1, 2024

★Registration Deadline:
September 1, 2024

★Full Paper Submission Deadline:
September 1, 2024

★Invitation Letter
Conference invitation letter will be sent to the participants by the conference secretaria until June 2024.

★Contact us:
Website: https://www.icondata.org/tr/
Email: info.icondata@gmail.com

★★Main Topics★★
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