Special Issue "Big Data and Internet of Things"
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 23140
Interests: grid computing; security; networking; cloud computing; big data
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Interests: data stream mining; big data; advanced analytics; bio-inspired optimization algorithms and applications; business intelligence; e-commerce; biomedical applications; wireless sensor networks
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The Special Issue on ‘Big Data and Internet of Things’ will contain selected and extended papers from the 4th International Conference on BDIOT' 2020, 22–24 August, Singapore http://www.bdiot.org/index.html. Internet of Things (IOT) is a platform and a phenomenon that allows everything to process information, communicate data, analyze context collaboratively, and in the service of individuals, organizations, and businesses. In the process of doing so, a large amount of data with different formats and content has to be processed efficiently, quickly, and intelligently through advanced algorithms, techniques, models, and tools. This new paradigm is enabled by the maturity of several different technologies, including the internet, wireless communication, cloud computing, sensors, big data analytics, and machine learning algorithms.
Big Data is another paradigm to describe the processing of data to help it 'make sense' to people using IoT. Big Data has five characteristics: volume, velocity, variety, veracity, and value. There are reports that Big Data skills can provide businesses and research communities with additional incentives, opportunities, funding, and innovation for their long-term strategies. New knowledge, tools, practices, and infrastructures will enable breakthrough discoveries and innovation in physical science, engineering, mobile services, medicine, business, education, earth science, security, and risk analysis.
Prof. Dr. Vijayakumar Varadarajan
Prof. Dr. Simon Fong
Prof. Dr. Xudong Jiang
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Big Data fundamentals – services computing, techniques, recommendations, and frameworks
- Modeling, experiments, sharing technologies, and platforms
- SQL/NoSQL databases, data processing techniques, visualization, and modern technologies
- Analytics, intelligence, and knowledge engineering
- Data center-enabled technologies
- Sensor, wireless technologies, and APIs
- Networking and social networks
- Data management for large data
- Security, privacy, and risk
- Software frameworks (MapReduce, Spark, etc.) and simulations
- Modern architecture Volume, velocity, variety, veracity, and value
- Social science and implications for Big Data
- Big Data as a service (BDaaS) including frameworks, empirical approaches, and data
- Sensor networks, remote diagnosis, and development
- Transportation management
- Pattern recognition and behavioral investigations for vehicles, green systems, and smart city
- 3D printing
- Artificial intelligence
- Data Processing
- Electronic technologies for in-vehicle
- Internet of things
- Mode-to-mode systems
- Transport safety and mobility