ICONDATA 2019 : International Conference on Data Science and Applications

INTERNATIONAL CONFERENCE ON DATA SCIENCE AND APPLICATIONS (ICONDATA'19)
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September 3 - 6, 2019
Foothills of Mythological Ida Mountains, Edremit - TURKEY

ICONDATA covers all data-based studies. Meanwhile, conference participants can share their data with other participants. Our aim is to share the data and turn it into valuable resource in the creation of business and IT strategies. In this manner, we plan to make a data share pool for the academicians.

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, full text, poster and virtual presentation after the review stage will be published in our full text paper book and abstract text papers book. In addition, the best 30 paper determined by the committee will be published in Data Science and Applications and Data Science (Veri Bilimi) journals which are contracted as articles.

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
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