会议信息
ADMA 2024 : International Conference on Advanced Data Mining and Applications
https://adma2024.github.io/
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Sydney,Australia
2024-08-01
2024-06-01
2024-12-03
数据库/数据挖掘
20
CE:C    CCF:C    CORE:C   QUALIS:无
征稿信息
The year 2024 marks the 20th anniversary of the International Conference on Advanced Data Mining and Applications (ADMA2024), which will be held in Sydney, Australia, 3rd December - 5nd December, 2024. It is our great pleasure to invite you to contribute papers and participate in this premier annual event on research and applications of data mining. The conference aims at bringing together the experts on data mining from around the world, and providing a leading international forum for the dissemination of original research findings in data mining, spanning applications, algorithms, software and systems, as well as different applied disciplines with potential in data mining, such as smartphone and social network mining, bio-medical science and green computing. ADMA2024 will promote the same close interaction and collaboration among practitioners and researchers. Published papers will go through a full peer review process. We invite authors to submit papers on topics of data mining and applications Relavent topics include, but are not limited to: Data Mining Theory: Data mining foundations Grand challenges of data mining; Parallel and distributed data mining algorithms Mining on data streams Graph mining Spatial data mining Text, video, multimedia data mining Web mining; High performance data mining algorithms Correlation mining Benchmarking and evaluations Interactive data mining Data-mining-ready structures and pre-processing Data mining visualization Information hiding in data mining Security and privacy issues Competitive analysis of mining algorithms Internet of Things mining Personalization and recommendation systems Deep Learning with small samples of Web Data Data Mining Applications: Big data Web of Things Grid computing DNA sequencing, genomics, and biometrics Image interpretations E-commerce and Web services Health informatics Disaster prediction Remote monitoring Financial market analysis Online filtering Application of Data Mining in Education Social network data mining Smartphone data mining Database administration, indexing, performance tuning Green computing data mining Smart Nation applications Crowdsourcing
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