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International Conference on Data Mining and Applications ICDMA on December 02-03, 2024 in Auckland, New Zealand
Submit Your Paper- Short Name: ICDMA
- Event Type: Conference
- Presentation: Digital
- Website URL: https://waset.org/data-mining-and-applications-conference-in-december-2024-in-auckland
- Program URL: https://waset.org/conferences-in-december-2024-in-auckland/program
- Contact URL: https://waset.org
- Location: Auckland, New Zealand
- Date: December 02-03, 2024
- Final Submission: November 02, 2024
- Notification: December 12, 2024
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: serverless architecture databases information systems security privacy big data analytics data analysis data visualization data warehousing data processing data integration data analytics big data machine learning intelligent systems data mining artificial intelligence data management knowledge discovery digital preservation
Advanced Data Mining Techniques
Scalable data preprocessing and cleaning techniques
Social network mining
Social search and analysis
Collective intelligence in the social Web
Parallel and distributed data mining algorithms
Mining on data streams
Graph and subgraph mining
Methodologies on large-scale data mining
Text, video, multimedia data mining
Web mining
High performance data mining algorithms
Modeling complex social systems
Evolution of social communities and social media
Collaborative filtering in social networks
Data mining visualization
Security and privacy issues
Competitive analysis of mining algorithms
Advanced Data Mining Applications
Data mining systems in finance, sciences, retail, e-commerce
Emerging applications of large-scale data mining
Empirical study of data mining algorithms
Parallel data mining applications
DNA sequencing, bioinformatics, genomics, and biometrics
E-commerce and Web services
Medical informatics
Disaster prediction
Financial market analysis
Intelligent system
Application of data mining in education
Scalable data preprocessing and cleaning techniques
Social network mining
Social search and analysis
Collective intelligence in the social Web
Parallel and distributed data mining algorithms
Mining on data streams
Graph and subgraph mining
Methodologies on large-scale data mining
Text, video, multimedia data mining
Web mining
High performance data mining algorithms
Modeling complex social systems
Evolution of social communities and social media
Collaborative filtering in social networks
Data mining visualization
Security and privacy issues
Competitive analysis of mining algorithms
Advanced Data Mining Applications
Data mining systems in finance, sciences, retail, e-commerce
Emerging applications of large-scale data mining
Empirical study of data mining algorithms
Parallel data mining applications
DNA sequencing, bioinformatics, genomics, and biometrics
E-commerce and Web services
Medical informatics
Disaster prediction
Financial market analysis
Intelligent system
Application of data mining in education
Name: World Academy of Science, Engineering and Technology
Website: https://waset.org/
Address: UAE
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