Query Answering in Big Data Analytics: Models, Tools, Trends and Challenges
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".
Deadline for manuscript submissions: closed (15 June 2021) | Viewed by 2765
Special Issue Editor
Interests: design for sustainability; digital sustainability; axiomatic design; data analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, the continuous evolution of products and services is generating a huge volume and variety of data at a high velocity. In many high-performance applications, which lead to the generation of a vast amount of structured, semi-structured, and unstructured data referred to as big data, timely and cost-effective analytics become a key element for advancement in various scientific, business, and engineering disciplines. In the context of different analytical tasks, the problem of query answering still represents an active research area due to the growing number of users and the increasing amount of data. It encompasses the definition, the efficient execution and the logical and physical optimization of analytical queries. However, new techniques with significant potential for innovation have to be elaborated to effectively manage and access the vast amount of data for analytical applications to support reliable decision making.
The purpose of this Special Issue is to present the latest developments in models and tools as well as the trends and challenges related to query answering in big data analytics. Investigators in the field are invited to contribute by providing their original, unpublished works. Both research and review papers are welcome.
Topics of interest include but are not limited to:
- Data science and big data
- Stream data analysis, representation and management
- Business analytics
- Approximation models, methods and algorithms
- Query languages, user interfaces and data visualization
- Datalog, recursive, and logical query answering
- Link and graph mining
- Web and mobile analytics
- Text and multimedia analytics
- Systems, architectures, platforms
Applications to Different Sectors:
- Business intelligence
- Energy and finance
- Healthcare and welfare
- Privacy and security
- Transportation
- Risk management
Dr. Elaheh Pourabbas
Guest Editor
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