Slides are downloadable here
Why not make time in your agenda on June 25th and come visit us at the first KNIME User Day UK at The Pavilion, University of Westminster, 101 New Cavendish Street, in London from 10:30 to 19:00.
Speakers from many different professional backgrounds will be giving presentations about real-life KNIME applications that reveal hidden information in data from finance, biochemistry, pharmaceuticals, electricity, supply chains, CRM, market survey, and more.
In addition, a few sessions will explore what is new in KNIME, future developments, and how to embed the KNIME Server in the enterprise organization to enable more productive collaborations and a more professional infrastructure.
For those who do not know KNIME yet but are interested in having a glance at how it works, we will be running a quick demo at 9:30, just before the workshop starts.
Participation to the workshop is free; you just need to register here.
If you have recently worked in a data analysis project using KNIME that you think might be of interest to other KNIME users why not participate as a speaker? If you would like to present at this workshop, please contact Rosaria Silipo or Thomas Gabriel
How to find us, check out directions to the meeting location at The Pavilion, University of Westminster, 101 New Cavendish Street, in London and at Google Maps.
09:00 - 09:30 Registration
09:30 Introduction to KNIME for those who do not know it ... yet!
10:00 - 10:30 Registration & Coffee and Snacks
10:30 - 11:30 Session 1: What's new and coming up in KNIME
10:30 - 10:40 Welcome
10:40 - 11:10 KNIME 2012-13 and Beyond (M. Berthold, KNIME)
11:10 - 11:30 A Sneak Preview of KNIME 2.8 (T. Gabriel, KNIME)
11:30 - 12:45 Session 2: Data Analytics using KNIME Enterprise Tools
11:30 - 11:55 Analyze the Web from Start to End (A. Hart, KNIME)
11:55 - 12:20 Building a KNIME Platform to enable Science at Lilly (J.A. Lumley, Eli Lilly)
12:20 - 12:45 Develop once – deploy everywhere: Advanced Text Analytics with KNIME Server
(S. Weingärtner, Dymatrix)
12:45 - 13:45 Lunch Break
13:45 - 15:10 Session 3: Life Sciences
13:45 - 14:10 KNIME Case Studies from Vernalis (Stephen Roughly, Vernalis)
14:10 - 14:35 Chemical Data Retrieval and Management (Stephan Beisken, EBI)
14:35 - 15:00 KNIME: Data Mining and Informatics Solutions for the Life-Sciences (M. Mazanetz, Evotec)
15:00 - 15:10 Easy Access to Pharmacology Data: The Open PHACTS KNIME Nodes (Ronald Siebes, PHACTS)
15:10 - 15:25 Coffee Break
15:25 - 17:10 Session 4: Time Series Prediction, Big Data, and Higher Education
15:25 - 15:50 Using Normalized Status Change Events Data in Business Intelligence (M. Cooke, TMA)
15:50 - 16:15 KNIME as a Teaching Tool in Higher Education (G. Di Fatta, University of Reading)
16:15 - 16:40 Workflow Framework for Mining Diagnostic Rules from Electronic Health Records
(R. Danger, Imperial College)
16:40 - 17:10 Big Data, Smart Energy, and Predictive Analytics (P. Winters & R. Silipo, KNIME)
17:10 - ~19:00 Networking Apéro Reception