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:

    Applied Public Affairs
        Campaign Management
        Mass Communication Politics
        Political Analysis
        Survey Sampling
    Business Analytics
        Stock Market Analysis
        Predictive Analytics
        Business Intelligence
    Finance
        Risk Management
        Algorithmic Trading
        Fraud Detection
        Financial Analysis
    Computer Science
        Database Management Systems
        Scientific Computing
        Computer Vision
        Fuzzy Computing
        Feature Selection
        Neural Networks
        Deep Learning
        Meta-Learning
        Process Mining
        Artificial Intelligence
        Data Mining
        Big Data
        Web Analytics
        Text Mining
        Natural Language Processing
        Sentiment Analysis
        Social Media Analysis
        Data Fusion
        Performance Analysis and Evaluation
        Evolutionary Computing and Optimization
        Hybrid Methods
        Granular Computing
        Recommender Systems
        Data Visualization
        Predictive Maintenance
        Internet of Things (IoT)
        Web Scraping
    Sustainability
        Datasets on Sustainability
        Sustainability Modeling
        Energy Sustainability
        Water Sustainability
        Environmental Sustainability
        Risk Analysis
    Cybersecurity
        Data Privacy and Security
        Network Security
        Communication Security
        Cryptography
        Fraud Detection
        Blockchain
    Environmental Science
        GIS
        Climatographic
        Remote Sensing
        Spatial Data Analysis
        Weather Prediction and Tracking
    Biotechnologies
        Gnome Analysis
        Drug Discovery and Screening and Side Effect Analysis
        Structural and Folding Pattern
        Disease Discovery and Classification
        Bioinformatics
        Next-Gen Sequencing
    Smart City
        City Data Management
        Smart Traffic
        Surveillance
        Location-Based Services
        Robotics
    Human Behaviour Understanding
    Semi-Structured and Unstructured Data
    Pattern Recognition
    Transparency in Research Data
    Data and Information Quality
    GPU Computing
    Crowdsourcing