This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
research:info [2015/09/28 11:17]
hverbeek [Information on research]
research:info [2017/10/30 17:16] (current)
hverbeek [Links]
Line 1: Line 1:
 ====== Information on research ====== ====== Information on research ======
-The Architecture of Information Systems (AIS) research group investigates+The research group distinguishes itself in the Information Systems discipline by its fundamental focus on 
-  * methods+  * modelling,  
-  * techniques, and +  * understanding,​  
-  * tools+  * analyzing, and  
 +  * improving ​
-for the design of architectures for complex information systems based on requirements or (a description of) an existing systemAn architecture is a collection of modelsthat are described in such way that properties ​of these models (and thus the systems) can be formally analyzed. The research concentrates on formalisms for modeling and methods to analyze models.+processesEssentiallyevery time two or more activities ​are performed to reach certain goal, fundamental principles ​of processes apply
-{{ :​images:​dsce652.png?​direct |}} +The research in the our group continues ​to expand outward from a “classical” situation ​of data with clear case notions in the context ​of explicitly structured processes ​to a broadmulti-faceted fieldwhere processes ​are less structured or consist ​of many interacting artifacts ​and where case notions ​in data become more fluid or are complex, multi-dimensional networks.
-As more and more companies are embracing Big Data technologies,​ it becomes apparent that the ultimate challenge is to relate massive amounts ​of event data to processes that are highly dynamic. To unleash ​the value of event data, events need to be tightly connected to the control and management of operational processes. Howeverthe primary focus of Big Data technologies is currently on storageprocessing, and rather simple analytical tasks. Big Data initiatives rarely focus on the improvement of end-to-end ​processes. To address this mismatch, we advocate a better integration ​of data science  ​and process science. Data science approaches tend to be process agnostic whereas process science approaches tend to be model-driven without considering the “evidence” hidden ​in the data. Process mining aims to bridge this gap+
-The AIS group is headed by [[http://wwwis.win.tue.nl/​~wvdaalst/​|Prof.dr.ir. ​W.M.P. van der Aalst]]. +The AIS group is headed by [[:organization:​staff:​b.f.v.dongen|dr.ir. ​B.F. van Dongen]].
- +
-===== Links ===== +
- +
-  * [[research:​assessment2010|Assessment of research quality]] +
-  * [[research:​iofeb2011|Eindelijk correcte procesmodellen]]+