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  • CFP: DATA STREAMS TRACK - ACM SAC 2024 (Extended deadline: October 13,

    From Carlos Ferreira@21:1/5 to All on Wed Oct 11 03:31:24 2023
    *ACM Symposium on Applied Computing *

    The 39th ACM/SIGAPP Symposium on Applied Computing in Avila, Spain

    April 8 – April 12, 2024

    https://www.sigapp.org/sac/sac2024/

    *Data Streams Track *

    https://abifet.github.io/SAC2024/

    *Call for Papers *

    The rapid development in Big Data information science and technology in
    general and in growth complexity and volume of data in particular has introduced new challenges for the research
    community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor
    networks, wireless networks, radio frequency
    identification, health-care devices and information systems, customer
    click streams, telephone records, multimedia data, scientific data, sets
    of retail chain transactions, etc. These
    sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using
    limited computing and storage capabilities.
    These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions.


    *TOPICS OF INTEREST *

    We are looking for original, unpublished work related to algorithms,
    methods and applications on big data streams and large scale machine
    learning. Topics include (but are not restricted) to:


    * Real-Time Analytics

    * Big Data Mining

    * Data Stream Models

    * Large Scale Machine Learning

    * Languages for Stream Query

    * Continuous Queries

    * Clustering from Data Streams

    * Decision Trees from Data Streams

    * Association Rules from Data Streams

    * Decision Rules from Data Streams

    * Bayesian Networks from Data Streams

    * Neural Networks for Data Streams

    * Feature Selection from Data Streams

    * Visualization Techniques for Data Streams

    * Incremental on-line Learning Algorithms

    * Single-Pass Algorithms

    * Temporal, spatial, and spatio-temporal data mining

    * Scalable Algorithms

    * Real-Time and Real-World Applications using Stream data

    * Distributed and Social Stream Mining

    * Urban Computing, Smart Cities

    * Internet of Things (IoT)


    * IMPORTANT DATES *

    1. Submission deadline (Extended): October 13, 2023

    2. Notification deadline: November 17, 2023

    3. Camera-ready deadline: December 15, 2023

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