Three papers from the Data Science Initiative (DSI) at Bournemouth University have been presented in the 20th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2016). The three papers are published in Elsevier’s Procedia Computer Science open access journal.
- “Effects of change propagation resulting from adaptive preprocessing in multicomponent predictive systems” by Manuel Martin Salvador, Marcin Budka, and Bogdan Gabrys (This research discusses the importance of handling local changes in complex adaptive systems.).
- “Local learning for multi-layer, multi-component predictive system” by Bassma Al-jubouri and Bogdan Gabrys (This research introduced a new ensemble method with its components trained locally on subsets of the features for disjoint sets of data.).
- “Comparing and combining time series trajectories using Dynamic Time Warping” by Neil Vaughan and Bogdan Gabrys (This research presented computational methods for combining or assessing similarity between two time series trajectories from a virtual reality simulator.).
It was not only the 20th Anniversary of the very successful KES conference series (one of which we hosted in Bournemouth in 2006 with over 500 participants) but this year it was chaired by BU’s Prof. Bogdan Gabrys and two of BU’s visiting professors, Prof. Robert Howlett and Prof. Lakhmi Jain.
The KES-2016 conference gave an opportunity to promote Bournemouth University and our accepted papers demonstrated a strong representation from BU’s Data Science Initiative, delivering high quality peer-reviewed research.
The location of the KES-2016 conference was in the historic and beautiful city of York, a historic walled city in the North East of England, founded by the Romans in 71AD. It possesses a wealth of historic attractions including an impressive 13th-century Gothic cathedral, York Minster, with beautiful medieval stained-glass windows, and City Walls that form a walkway on both sides of the River Ouse.
If you would like to know more about the research or are interested in collaborating, please contact Professor Bogdan Gabrys.