International Conference on Data Mining and Applications ICDMA on February 01-02, 2027 in Melbourne, Australia
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- Short Name: ICDMA
- Event Type: Conference
- Presentation: Physical
- Website URL: https://waset.org/data-mining-and-applications-conference-in-february-2027-in-melbourne
- Program URL: https://waset.org/conferences-in-february-2027-in-melbourne/program
- Contact URL: https://waset.org
- Location: Melbourne, Australia
- Date: February 01-02, 2027
- Final Submission: December 17, 2026
- Notification: February 27, 2026
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: knowledge discovery data management artificial intelligence data mining intelligent systems machine learning big data data analytics data integration data processing data warehousing data visualization data analysis big data analytics security privacy databases information systems serverless architecture 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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