Huge amount of Data is being generated and transmitted everyday. To be able to deal with this data, extract useful information from it, store it, transmit it, and represent it, intelligent technologies and applications are needed. The International Conference on Intelligent Data Science Technologies and Applications (IDSTA) is a peer reviewed conference that will advance the Data Science field by giving an opportunity for researchers, engineers, and practitioners to present their latest findings in the field. It will also invite key persons in the field to share their current knowledge and their future expectations for the field. Topics of interest for submission include, but are not limited to:

    Business Analytics
    Text Analytics
    Web Analytics
    Data Integrity
    Data Privacy and Security
    Data Warehouse
    Information Integration
    Human Behavior Understanding
    Data Mining
    Semi-Structured and Unstructured Data
    Data Fusion
    Pattern Recognition
    Predictive Modelling
    Data Mining
    Statistical and Structural Pattern Recognition
    Performance Analysis and Evaluation
    Evolutionary Computing and Optimization
    Feature Selection
    Fuzzy Computing
    Hybrid Methods
    Neural Networks
    Deep Learning
    Process Mining
    Granular Computing
    Mobile data
    City Data Management
    Transparency in Research Data
    Data and Information Quality
    Data Virtualization
    Management of Sensor Data
    Semantic Web Technologies
    Big Data