Section on Big Data Analytics
The section on Big Data Analytics (BDA) is one of the youngest and most dynamic sections of the INNS. It was established in 2014 and holds an annual conference with the inaugural INNS Conference on Big Data taking place in San Francisco, 8-10 August, 2015.On this page you will find information about the motivation, objectives, structure, activities of the BDA Section and how to join it.
Motivation for the Big Data Analytics Section
Although a nascent technology, companies across the globe have rapidly increased their investments in big data technology in the last few years. Big data is also a growing research area and national science organizations and defense agencies in many countries are funding some of the research. Big data is not just about storage and access of data in a distributed framework. Analytics play a big role in trying to make sense of that data. Although many analytics platforms have been developed and deployed for big data, analytics will remain a challenge for years to come.
The neural network field should and can be an important player in big data and lead some of its technological developments. Our strength is in our decades of work on online learning, a form of learning that has been under-researched, until recently, by other related fields of analytics such as statistics, machine learning and data mining. And our online learning is not only a perfect match for streaming data (as in sensor data of the Industrial Internet or the Internet of Things), but could also be used on stored big data. Our learning technologies are already configured to take advantage of parallel computations. We also have neuromorphic hardware that can deliver the millisecond or nanosecond speed of computations required in many big data applications such as the Industrial Internet. Therefore, we are in a position where we can quickly develop and deploy some of our mature technologies to solve big data learning problems. Big data has the potential to quickly become the most successful application area of neural networks.
The purpose and goal of this Section is to help the neural network field position itself as the leading technology provider for big data analytics.
Big Data Analytics Section Objectives
The main objective of the Section on BDA is to be a focal point of scientific and networking activities in this emerging area. More specifically, the Section and its members will:
Structure of the Big Data Analytics Section
The BDA Section was established in 2014 and was chaired by Asim Roy (Professor at Arizona State University, USA) till August 2015. The leadership of the BDA Section was taken in August 2015 (Board of Government decision, July 2015) by Plamen Angelov (Professor at Lancaster University, UK). Asim switched to the role of co-Chair responsible for membership.
The other co-chairs are (in inverse alphabetical order):
How to join?
As a Section we are already growing rapidly (for example, at the IJCNN 2015 conference, Killarney, Ireland in July 2015 we organized a meeting and have dozens of new members who joined on the spot; during the inaugural conference held in San Francisco in early August, 2015 we had additional dozens of new members). The next conference was held in October 2016 in Greece http://conferences.cwa.gr/inns-big-data2016/. View the proceedings at http://www.springer.com/gb/book/9783319478975.
The venue of the 3rd conference will be decided during the IJCNN2017 meeting of the Board of Governors in Anchorage, Alaska in May 2017.
There will be plenty of opportunities to play an active and visible role in the life of the Section and the Society. If you are interested to taking a role in the Section, please, contact the Chair (Plamen Angelov at email@example.com)
Join the Big Data Analytics Section TODAY!