Conference Information
DDP 2022: International Conference on Digital Data Processing
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Luton, UK
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Call For Papers
Data grows voluminously and exponentially with heterogeneity and complexity. A single organization or industry processes more than a few million transactions hourly and stores several petabytes of data. We live in a world of tremendous pressure to analyze and process data more efficiently where the Data analytics can reflect hidden patterns, incomprehensible relationships, intrinsic information relations, and segmentation. The data applications have introduced cutting-edge possibilities in every activity in our life. Thus, studying data and its underlying structure, dynamics of data relations, and newer data technologies are a never-ending process. The literature and research on data management are enormous; they do not sufficiently solve the data processing requirements.

Currently, the use of technology and interrelations among information pieces generate gargantuan amounts of data. Many studies tend to develop models and systems to analyze voluminous datasets. Analyzing the impact of data leads to application domains on decisions that have a systematic influence. Knowledge generated from the data analysis can enable the production of critical information for several domains.

Hence this conference reviews and discusses the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology. This conference also highlights the current open research directions of data analytics that require further consideration/

The proposed conference will discuss topics not limited to

    Data applications in various domains and activities
    Data in cloud
    Real-world data processing
    Data inaccuracy and reliability issues
    Data Ecosystem
    Business Analytics
    New data analytics techniques
    Physical and management challenges
    Privacy and Security
    Crowdsourcing and Sensing
    Data modelling
    Deep learning techniques
    Data fusion
    Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics
    Machine learning
    Network optimization
    Data in Biomedical Engineering
    Data in Materials science and mechanics
    Data handling and applications in domains
    Wireless Networking Data Management
    Data of Electronic & Embedded Systems
    Multi-media Systems Data
    Artificial intelligence Models and Systems Data
    E-Computing Data
    Renewable Energies Data
Last updated by Dou Sun in 2022-09-02
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