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