The 9th International Conference on Big Data Technologies and Applications
4-5 September 2018, Exeter, UK

Selected papers will be invited to submit an extended version of their work to 
the journal special issues:
- ACM/Springer Mobile Networks and Applications Journal (MONET)
- Concurrency and Computation: Practice and Experience

Due to the explosive evolution of Information Technology and Computer Science, 
we have entered in the Big Data Age, and this is really a scientific 
revolution, not just a fashion. As always, the technological aspects evolve 
faster than the scientific community mentality. Transforming Big Data into Big 
Knowledge and developing a new kind of Knowledge-Based Systems require new 
visions and approaches. Companies, facing the Big Data challenges, are moving 
faster in the right direction than the scientific community, being under a 
stronger competitive pressure. They were forced to renounce to wishful 
thinking, like the idea that a few variables, embedded in a few rules, 
discovered usaing the old fashion statistics, will give intelligent support for 
business decisions. We have to do the same for developing various applications.

Moreover, motivated by the big data analytics needs, new computing and storage 
technologies are developing rapidly and pushing for new high-end hardware 
geared toward big data problems. While the high-performance computing 
technologies have the potential to greatly improve the effectiveness of big 
data analytics, the cost and sophistications of those technology and limited 
initial application support often make them inaccessible to the end users and 
not fully utilized in academia years later. Meanwhile, comprehensive analytic 
software environment and platforms, such as R and Python, have become 
increasingly popular open-source platforms for data analysis.

Also, Computational Intelligence (CI) methodologies, tailored to Big Data, and 
combined with a proper vision of living systems, e.g., as complex dynamical 
systems or networks of interacting entities, could pave the way to 
Knowledge-Based System.

Potential topics of interest, which can be investigated from different 
perspectives (social, organizational, technological) include, but are not 
limited to, the following application domains:
- Data Visualization and Visual Analytics
- Natural Language Processing in Big Texts
- Biomedical imaging pre-processing and Analysis
- Hardware and Software solutions for Big Data Searching, Storing and Management
- Structured and Unstructured Data/Text/Web Mining
- Deep Learning architecture, representations, unsupervised and supervised 
- Scalable computational intelligence tools
- Novel Computational Intelligence approaches for data analysis
- Evolutionary and Bio-inspired approaches for Big Data analysis
- New domains and novel applications related to Big Data technologies

Important Dates
Submission deadline: 13 April 2018
Notification deadline: 1 June 2018
Camera-Ready deadline: 4 July 2018

All accepted and presented papers will be published by Springer and made 
available through SpringerLink Digital Library.

BDTA proceedings are indexed in leading indexing services, including Ei 
Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well 
as EAI's own EU Digital Library (EUDL).

Authors of selected best accepted and presented papers will be invited to 
submit an extended version to:
- Mobile Networks and Applications (MONET) (IF:3.259)
- Concurrency and Computation: Practice and Experience (IF:1.133)

Paper submission
Papers should be submitted through EAI 'Confy' system 
(, and have to comply with the Springer format 
(see Author's kit section at

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