International Conference on Data Mining and Knowledge Discovery ICDMKD on January 11-12, 2025 in Singapore, Singapore
Submit Your Paper- Short Name: ICDMKD
- Event Type: Conference
- Presentation: Physical
- Website URL: https://waset.org/data-mining-and-knowledge-discovery-conference-in-january-2025-in-singapore
- Program URL: https://waset.org/conferences-in-january-2025-in-singapore/program
- Contact URL: https://waset.org
- Location: Singapore, Singapore
- Date: January 11-12, 2025
- Final Submission: December 07, 2024
- Notification: April 15, 2024
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: databases information systems security privacy data compression 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) content management web intelligence fog computing big data analysis data engineering semantic web text mining data warehousing digital data data processing data collection data integrity data integration information management data analytics big data information engineering databases information systems data mining teleinformatics intelligent computing applied computing metadata knowledge management data management knowledge discovery database engineering
Foundations of data mining
Data mining and machine learning algorithms and methods in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis), and in new areas
Mining text and semi-structured data, and mining temporal, spatial and multimedia data
Mining data streams
Mining spatio-temporal data
Mining with data clouds and Big Data
Link and graph mining
Pattern recognition and trend analysis
Collaborative filtering/personalization
Data and knowledge representation for data mining
Query languages and user interfaces for mining
Complexity, efficiency, and scalability issues in data mining
Data pre-processing, data reduction, feature selection and feature transformation
Post-processing of data mining results
Statistics and probability in large-scale data mining
Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining
Integration of data warehousing, OLAP and data mining
Human-machine interaction and visual data mining
High performance and parallel/distributed data mining
Quality assessment and interestingness metrics of data mining results
Visual Analytics
Security, privacy and social impact of data mining
Data mining applications in bioinformatics, electronic commerce, Web, intrusion detection, finance, marketing, healthcare, telecommunications and other fields
Data mining and machine learning algorithms and methods in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis), and in new areas
Mining text and semi-structured data, and mining temporal, spatial and multimedia data
Mining data streams
Mining spatio-temporal data
Mining with data clouds and Big Data
Link and graph mining
Pattern recognition and trend analysis
Collaborative filtering/personalization
Data and knowledge representation for data mining
Query languages and user interfaces for mining
Complexity, efficiency, and scalability issues in data mining
Data pre-processing, data reduction, feature selection and feature transformation
Post-processing of data mining results
Statistics and probability in large-scale data mining
Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining
Integration of data warehousing, OLAP and data mining
Human-machine interaction and visual data mining
High performance and parallel/distributed data mining
Quality assessment and interestingness metrics of data mining results
Visual Analytics
Security, privacy and social impact of data mining
Data mining applications in bioinformatics, electronic commerce, Web, intrusion detection, finance, marketing, healthcare, telecommunications and other fields
Name: World Academy of Science, Engineering and Technology
Website: https://waset.org/
Address: UAE
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