Special Session on "Adaptive Data-Driven Modeling in Dynamic Environments and On-line Processes"
Sprache des Titels:
Englisch
Original Kurzfassung:
The computerization of many life activities and the
advances in data collection and storage technology
lead to obtain mountains of data. They are collecte
d to capture information about a phenomena or a
process behavior. These data are rarely of direct b
enefit. Thus, a set of techniques and tools are use
d to
extract useful information for decision support, pr
ediction, exploration and understanding of
phenomena governing the data sources. The informati
on is mostly provided in terms of system models
describing the behaviour of the actual system or ap
plication under examination.
Whenever dynamic process changes occur due to chang
ing system states, varying operation modes, or
environmental conditions, the information content e
xtracted from older (batch off-line) data sources
needs to be adjusted; otherwise, the models may det
eriorate significantly in performance. In on-line
settings, this circumstance requires permanent upda
tes of model components and parameters, in off-
line applications a transfer of old models to new s
tates.