Conference Information
ICDIS 2019: International Conference on Data Intelligence and Security
http://www.icdis.org
Submission Date:
2019-02-15
Notification Date:
2019-03-15
Conference Date:
2019-06-28
Location:
South Padre Island, Texas, USA
Years:
2
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Conference Location
Call For Papers
Aim and Scope

Data intelligence and data security are two closely related areas, with data management serving as the base for both. The three areas can be considered as the three dimensions of data,  which are the keys to new knowledge and solutions.  In this era of big data, constant challenges are present for both academia and industry. Those challenges are also great opportunities for innovative ideas, tools and technologies.

The 2nd International Conference on Data Intelligence and Security (ICDIS 2019) is oriented to: (1) provide a unique forum where data management, data intelligence, and data security are all involved; (2) provide a forum for researchers, experts, professionals and stakeholders in related fields to disseminate their recent advances and share their views on future perspectives.

Themes

The topics of ICDIS 2019 include three aspects: data management, data intelligence and cyber-security. Particularly, the topics of interest include but are not limited to:
 
1. Data Management

    Data warehousing, OLAP, SQL analytics
    Data integration and data cleaning
    Information retrieval
    Storage, indexing, and physical database design
    Distributed and parallel databases
    Image and video processing & analysis
    Natural language processing
    Graph data management
    Social networks visualization and analysis
    Web data management and analysis
    Health data management and analysis
    Semi-structured data
    Data feature extraction
    Data dimension reduction
    Data visualization

2. Data Intelligence

    Big Data Intelligence
    Small-samples machine learning
    Deep learning
    Unsupervised learning and clustering
    Supervised learning and classification
    Reinforcement learning
    Case-based reasoning
    Statistical learning
    Conceptual learning
    Frequent pattern mining
    Association rules mining
    Learning/adaption of recognition and perception
    Learning for handwriting recognition
    Artificial neural network
    Optimization techniques for learning
    Data-driven evolutionary optimization
    Data-driven fuzzy systems design
    Immune Computation

3. Data Security and Privacy

    Big data security
    Biometrics
    Access control
    Authorization
    Intrusion detection
    Anomaly detection
    Fraud detection
    Information assurance
    Network security
    Secure cloud computing
    Secure multi-party computation
    System security
    Information hiding
    Data privacy
    Sensitive data collection
    Privacy-preserving data mining
    Privacy-preserving data publishing
    Robot Immune Systems
Last updated by Dou Sun in 2019-02-09
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