posted by user: WANGMIAO || 1959 views || tracked by 8 users: [display]

BDTA 2018 : The 9th EAI International Conference on Big Data Technologies and Applications

FacebookTwitterLinkedInGoogle

Link: http://infoscale.org/
 
When Sep 4, 2018 - Sep 5, 2018
Where Exeter, 2018
Submission Deadline May 10, 2018
Notification Due Jun 24, 2018
Final Version Due Jul 24, 2018
Categories    smart data   data mining   big data   data analysis
 

Call For Papers

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

URL: http://infoscale.org

Deadline extended to 10 May 2018

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

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).

Introduction
============
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 using 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 algorithms
- 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: 10 May 2018
Notification deadline: 24 June 2018
Camera-Ready deadline: 24 July 2018

Publication
===========
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 (http://confy.eai.eu/entry.html), and have to comply with the Springer format (see Author’s kit section at http://infoscale.org/authors-kit/).
More information on paper submission can be found at http://infoscale.org/initial-submission/

Related Resources

ICDM 2019   19th Industrial Conference on Data Mining ICDM 2019
MLDM 2019   15th International Conference on Machine Learning and Data Mining MLDM 2019
DSTAA 2019   Taylor and Francis - DSTAA 2019 : Call for Book Chapters - Data Science: Theory, Analysis, and Applications
DSA 2019   The Frontiers in Intelligent Data and Signal Analysis DSA 2019
PAKDD 2019   Pacific-Asia Conference on Knowledge Discovery and Data Mining
ISCSAI 2018   2018 International Symposium on Computer Science and Artificial Intelligence
KomIS@ACM-SAC 2019   ACM SAC 2019 - KomIS track: Application of AI and Big Data Analytics
AMLTA 2019   The 4th International Conference on Advanced Machine Learning Technologies and Applications.
ICDMML 2019   2019 International Conference on Data Mining and Machine Learning
IEEE--ICAIBD--Ei and Scopus 2019   IEEE--2019 The 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD 2019)--Ei Compendex, Scopus