International Conference on Big Data Analytics and Knowledge Discovery ICBDAKD on September 27-28, 2025 in Istanbul, Turkey
Submit Your Paper- Short Name: ICBDAKD
- Event Type: Conference
- Presentation: Physical
- Website URL: https://waset.org/big-data-analytics-and-knowledge-discovery-conference-in-september-2025-in-istanbul
- Program URL: https://waset.org/conferences-in-september-2025-in-istanbul/program
- Contact URL: https://waset.org
- Location: Istanbul, Turkey
- Date: September 27-28, 2025
- Final Submission: August 26, 2025
- Notification: December 12, 2024
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: machine learning knowledge discovery intelligent systems information retrieval digital preservation databases information systems data warehousing text mining data visualization data processing data mining data management data integration data engineering data analytics big data analytics big data
Big Data Storage
Big Data Query Languages and Optimization
Big Data Analytics and User Interfaces
Big Data Indexing
Big Data Analytics
Big Data Quality and Provenance Control
Social Networking Big Data Graph Management
Visualization Analytics for Big Data
Big Data Searching and Discovery
Big Data Management in Mobile Applications
Scalability and parallelization for cloud intelligence: map-reduce and beyond
Analytics for the cloud infrastructure
Analytics for unstructured, semi-structured, and structured data
Semantic web intelligence
Analytics for temporal, spatial, spatio-temporal, and mobile data
Analytics for data streams and sensor data
Analytics for multimedia data
Analytics for social networks
Real-time/right-time and event-based analytics
Privacy and security in cloud intelligence
Reliability and fault tolerance in cloud intelligence
Big Data Application design and deployment
Data mining techniques: clustering, classification, association rules, decision trees, etc.
Data and knowledge representation
Knowledge discovery framework and process, including pre- and post-processing
Integration of data warehousing, OLAP and data mining
Integrating constraints and knowledge in the KDD process
Exploring data analysis, inference of causes, prediction
Evaluating, consolidating, and explaining discovered knowledge
Statistical techniques for generation a robust, consistent data model
Interactive data exploration/visualization and discovery
Languages and interfaces for data mining
Data Mining Trends, Opportunities and Risks
Data Mining from low-quality information sources
Big Data Query Languages and Optimization
Big Data Analytics and User Interfaces
Big Data Indexing
Big Data Analytics
Big Data Quality and Provenance Control
Social Networking Big Data Graph Management
Visualization Analytics for Big Data
Big Data Searching and Discovery
Big Data Management in Mobile Applications
Scalability and parallelization for cloud intelligence: map-reduce and beyond
Analytics for the cloud infrastructure
Analytics for unstructured, semi-structured, and structured data
Semantic web intelligence
Analytics for temporal, spatial, spatio-temporal, and mobile data
Analytics for data streams and sensor data
Analytics for multimedia data
Analytics for social networks
Real-time/right-time and event-based analytics
Privacy and security in cloud intelligence
Reliability and fault tolerance in cloud intelligence
Big Data Application design and deployment
Data mining techniques: clustering, classification, association rules, decision trees, etc.
Data and knowledge representation
Knowledge discovery framework and process, including pre- and post-processing
Integration of data warehousing, OLAP and data mining
Integrating constraints and knowledge in the KDD process
Exploring data analysis, inference of causes, prediction
Evaluating, consolidating, and explaining discovered knowledge
Statistical techniques for generation a robust, consistent data model
Interactive data exploration/visualization and discovery
Languages and interfaces for data mining
Data Mining Trends, Opportunities and Risks
Data Mining from low-quality information sources
Name: World Academy of Science, Engineering and Technology
Website: https://waset.org/
Address: UAE
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