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Paper Submission is now open for the 10th edition of BDTA! Check out the Call for Papers.Take a look back at the previous edition of BDTA here.BDTA 2020 supports revolutionary EAI Community Review, find out more here.Every author receives EAI Index credits – regardless of acceptance. Learn more about EAI’s Recognition Program here.Get real feedback on your presentation from other registrants via EAI Compass.
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All accepted and presented papers will be submitted for publishing by Springer to be made available through SpringerLink Digital Library.
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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.
This event is organized by EAI.
EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.
EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.
EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.
Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.
2018 – Exeter, Great Britain
2017 – Gwangju, South Korea
2016 – Seoul, South Korea
2014 – Seoul, South Korea
2009 – Hong Kong, People´s Republic of China
2008 – Vico Equense, Italy
2007 – Suzhou, People´s Republic of China
2006 – Hong Kong, People´s Republic of China