To see other BU videos on YouTube go to the BU YouTube page!
To see other BU videos on YouTube go to the BU YouTube page!
Nowadays web users generate a lot of data in a form of web logs. This data can tell us a lot about visitor behavior, their demands and preferences. Predictive web analytics is aimed at understanding and predicting behavioral patterns of users in various web-based applications or services: e-commerce, mass-media, and entertainment industries. This mini workshop focuses on challenges and techniques in predictive web analytics.
If you are interested to find out what can be predicted from visitor behavior on the web and how it can be done, welcome to attend!
Date: Monday, 31/10/2011
Time: 4pm – 6pm
Place: PG143, Poole House, Talbot Campus
4pm – 5pm
5pm – 6pm
Omar Kudmany will talk about Web log pre-processing using Complex Event Processing technologies
You are invited to contribute and participate in a Workshop on Meta Transfer of Knowledge – Challenges in Transfer of Knowledge in Industry.
The workshop is taking place at the International Conference on Innovation through Knowledge Transfer at BU on 19th and 20th of April 2012.
The workshop is a part of Knowledge Transfer activities that take place within the EU funded INFER project coordinated by Prof. Bogdan Gabrys, DEC. INFER offers participants the opportunity to move between sectors and country in order to provide, absorb and implement new knowledge in a professional industrial-academic environment.
The workshop will allow conference delegates to benefit from experiences in knowledge transfer, knowledge exchange and knowledge sharing, during the progress of the INFER and other similar projects.
The goal of the workshop is to share the knowledge about the most effective transfer of knowledge activities that can and have been organised especially in large international projects such as those carried out within EC “People” Industry-Academia Partnerships and Pathways (IAPP) programme.
Such projects are of particular interest to this workshop as their aim is to stimulate intersectoral mobility and increase knowledge sharing through joint research partnerships in longer term co-operation programmes between organisations from academia and industry where effective knowledge transfer is critical to the success of the projects.
As the transfer of knowledge mechanisms can be observed in all areas where the cooperation between academia and industry exists, it is hoped that sustainable collaborations between people who are interested in continuous development of these mechanisms and improvement of their efficiency will be fostered. This will give the opportunity to push further the discussion upon the potential of Transfer of Knowledge phenomena across different communities.
“I spent the first three months of this year sitting in REC, a software engineering company in Wroclaw, Poland doing the job of a Software Engineer. So what is unusual about that? I am a Senior Lecturer in Software Engineering and have, for the first time in my career, had complete immersion in a company doing the subject I research, talk to students about, enthuse with colleagues about and generally bore my outside friends about. As part of the INFER project headed up by Bogdan Gabrys which is creating a complex, predictive, adaptive system, I have had an opportunity that rarely comes an academics way. I got to live in Wroclaw, had fun getting about in a beautiful part of Poland and really enjoyed being among the Polish people. ( I would also recommend the Bison grass Vodka J).
As a result I have already written a conference paper and had it accepted whilst a journal paper will follow. I will have two very useful case studies which I can discuss with colleagues and have learnt a great deal about the processes involved in the company (my particular research interest). I am advising the company on the ways that they can improve what they are doing – so it is a two way thing. Finally, as a result of the project my network has expanded considerably with both academics and industrialists. I can see how I may need change my teaching strategy to respond to what is happening in the real world and I am well placed to consider applying for funding with my company colleagues in the future to continue the work I have started.
At a recent meeting discussing our strategy for BU’s engagement with Europe, I was surprised to hear that many academics were either not interested or were nervous of starting out in the EU. I agreed to write about my current journey. If you work at BU and want to find out more, let me know. I am happy to help.”
DEC are hosting a workshop on Information Discovery and Data Analytics Made Easy facilitated by Prof. Michael R. Berthold, Konstanz University, Germany on 18 May.
TIME: 18th May 2011, 10.00 am – 1.00 pm,
PLACE: PG10, Poole House, Talbot Campus
The purpose of the event is to present methods and tools that can be used in processing large datasets and how to discover knowledge from them. Michael Berthold is a coordinator of the project BISON that is a research project funded by EC under the 7FP. He is also one of the founders of KNIME which is a user-friendly and comprehensive open-source data integration, processing, analysis, and exploration platform. So the goal of the workshop is also to start collaboration with Konstanz University and find out more about EC 7FP projects.
The workshop is open to all BU staff and PhD students as well. It will be of interest to all people who are involved in intelligent data processing. For sure it will be of interest for DEC staff: SMART Technology Research Centre, Creative Technology Research Centre and Software Systems Research Centre. I bielieve also that people from School of Applied Sciences will be interested.
Research areas that it covers include: intelligent data analysis, predictive modelling, complexity science, complex adaptive systems, knowledge discovery from data.
Prof. Michael R. Berthold’s Bio
After receiving his PhD from Karlsruhe University, Germany Michael Berthold spent over seven years in the US, among others at Carnegie Mellon University, Intel Corporation, the University of California at Berkeley and – most recently – as director of an industrial think tank in South San Francisco. Since August 2003 he holds the Nycomed-Chair for Bioinformatics and Information Mining at Konstanz University, Germany where his research focuses on using machine learning methods for the interactive analysis of large information repositories in the Life Sciences. Most of the research results are made available to the public via the open source data mining platform KNIME. M. Berthold is Past President of the North American Fuzzy Information Processing Society, Associate Editor of several journals and the President of the IEEE System, Man, and Cybernetics Society. He has been involved in the organization of various conferences, most notably the IDA-series of symposia on Intelligent Data Analysis and the conference series on Computational Life Science. Together with David Hand he co-edited the successful textbook “Intelligent Data Analysis: An Introduction” which has recently appeared in a completely revised, second edition. He is also co-author of the brand-new “Guide to Intelligent Data Analysis” (Springer Verlag) which appeared in summer 2010.
For more information about workshop or to book a place, please contact: Katarzyna Musial (email@example.com)