International Conference on Advanced Data Mining and Applications ICADMA on September 20-21, 2026 in Toronto, Canada
Submit Your Paper- Short Name: ICADMA
- Event Type: Conference
- Presentation: Physical
- Website URL: https://waset.org/advanced-data-mining-and-applications-conference-in-september-2026-in-toronto
- Program URL: https://waset.org/conferences-in-september-2026-in-toronto/program
- Contact URL: https://waset.org
- Location: Toronto, Canada
- Date: September 20-21, 2026
- Final Submission: August 21, 2026
- Notification: February 27, 2025
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: digital preservation serverless architecture databases information systems security privacy developer mobile app data compression database engineering information retrieval research data infrastructure astroinformatics industrial wireless sensor networks industrial data analytics big data analytics data governance database data analysis information science search engine optimization (seo) software metering web intelligence big data analysis open source software data engineering data warehousing digital data data processing data collection data integrity data integration information management data analytics big data information engineering databases information systems computer applications application teleinformatics intelligent computing applied computing data management knowledge discovery
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 socia 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 socia 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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