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ADMA 2024 : 20th International Conference Advanced Data Mining and Applications


Conference Series : Advanced Data Mining and Applications
When Dec 3, 2024 - Dec 5, 2024
Where Sydney, Australia
Submission Deadline Jun 1, 2024
Notification Due Aug 1, 2024
Final Version Due Aug 15, 2024
Categories    data mining   spatial data mining   financial market analysis   graph mining

Call For Papers

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.

Papers will go through a full peer review process in a double-blind manner. The accepted papers of the conference will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and indexed in EI and DBLP. Selected excellent papers will be recommended to a set of SCI and EI journals after registration. The conference is ranked B level by CORE (Computing Research and Education Association of Australasia) and C level by CCF (China Computer Federation), respectively.

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

Important Dates
Early Track Submission Deadline 15th March, 2024 (AoE)
Early Track Notification 30th April, 2024 (AoE)
Main track Submission Deadline 1st June, 2024 (AoE)
Main track Notification Date 1st August, 2024 (AoE)
Camera-ready Submission Deadline 15th August, 2024 (AoE)
Conference Event Dates 3rd ~ 5th December, 2024 (AEST)

Related Resources

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BDCAT 2024   IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies
AIM@EPIA 2024   Artificial Intelligence in Medicine
AMLDS 2025   2025 International Conference on Advanced Machine Learning and Data Science
ICDM 2024   IEEE International Conference on Data Mining
ICONDATA 2024   6th International Conference on Data Science and Applications
ADMIT 2024   2024 3rd International Conference on Algorithms, Data Mining, and Information Technology (ADMIT 2024)
DSIT 2024   7th International Conference on Data Science and Information Technology
SPIE-Ei/Scopus-ITNLP 2024   2024 4th International Conference on Information Technology and Natural Language Processing (ITNLP 2024) -EI Compendex
AASDS 2024   Special Issue on Applications and Analysis of Statistics and Data Science