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ADMA 2023 : International Conference Advanced Data Mining and Applications

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Conference Series : Advanced Data Mining and Applications
 
Link: https://adma2023.uqcloud.net/
 
When Aug 21, 2023 - Aug 23, 2023
Where Shenyang, China
Abstract Registration Due Apr 8, 2023
Submission Deadline Apr 30, 2023
Notification Due May 30, 2023
Final Version Due Jun 15, 2023
Categories    data mining theory   data mining applications
 

Call For Papers

The year 2023 marks the 19th anniversary of the International Conference on Advanced Data Mining and Applications (ADMA'23), which will be held in Shenyang, China, 21th August - 23th August, 2023. 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 social network mining, smart transportation, fintech, intelligent manufacturing, smartphone, bio-medical science, green computing, and etc. ADMA'23 will promote the same close interaction and collaboration among practitioners and researchers. Published papers will go through a full peer review process and submissions will be reviewed in a double-blind manner.

The conference is rated B level in CORE ranking and C level in CCF (China Computer Federation) ranking, and the accepted papers are indexed in EI and DBLP. Some selected excellent papers will be recommended to a set of SCI and EI Journals after Registration.

Relevant 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
Sequence processing and analysis
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
Recommendation systems
Knowledge graph

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
AI4DB (Database administration, indexing, performance tuning, etc)
Green computing data mining
Smart Nation applications
Crowdsourcing
Traffic flow analysis and forecasting
Industry: Innovative industrial advancements

Submission of Papers:
Paper submission will be through the CMT website. The paper should be in English and contain unpublished contributions to the data mining and related fields. The paper should not exceed 15 pages in LNAI format. For the template and details on the LNCS style, see Springer’s Author Instructions https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Submissions are reviewed in a double-blind manner.

Best Paper Awards:
The award will be given to the paper that the Program Committee judges to be the best in quality, execution and impact among all the accepted papers in the conference.

Submission Site:
https://cmt3.research.microsoft.com/ADMA2023

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