This workshop deals with techniques that use local pattern mining for improving global modeling. We subsume such techniques under the LeGo process model with three interacting phases: local pattern mining, pattern set selection, and global modeling. Please refer to the first paper in the proceedings for more details and some of the basic terminology used.
As part of our workshop program, we have put together a participants survey, the results of which we intend to present at the end of the day. We would like to ask you to take a look at this questionnaire, and tell us about your views. The questions concern the topic of the workshop.
If possible, please use this .xls response file to express your views (although we will also accept all formats). In this file, simply change any 0 into a 1 for the options that most fit your opinion. If you have no specific preference for some questions, you can leave all options 0. However, we encourage you to answer all questions, even if there is no clear-cut answer. For some options, you are asked to provide free-text. Additionally, you can add as many comments behind every option as you wish. The first two questions are optional. If you leave these blank, we will do our best to preserve anonymity, and will not store your email address.
You can email your response to LeGo-08@ke.informatik.tu-darmstadt.de. We need to receive your feedback before Wednesday September 10, at 10:00 am Central European Time, in order to process it.
Please feel free to forward the survey to colleagues that might be interested in the subject, and ask them to send in their opinions as well. Participation in the survey is not restricted to Workshop attendees!
A.
I agree.
B.
I disagree.
A.
… more accurate, because the global model is
not hampered by large numbers of redundant patterns/features.
B.
… less accurate, because pattern selection
results in loss of information.
C.
… about as accurate as a model induced from all
patterns.
A.
I agree.
B.
I disagree.
A.
… better, because of the exploratory (and often
complete) search in the Pattern Discovery phase.
B.
… worse because of the loss of information in
binary patterns/features.
C.
… worse because of the risk of overfitting and multiple testing implicit in the Pattern
Discovery phase.
D.
… better, but only in complex and structured
domains, such as multi-relational and graphical.
A.
… treated as independent. Greater flexibility
allows for different algorithms to be plugged in.
B.
… tuned to each other. By adapting the settings
to the previous and next phase, optimal results can be achieved.
C.
It depends on the application.
A.
… the ideal solution for building good models
B.
… a good approach for doing something useful
with the patterns I have found.
C.
… a conceptual framework for thinking and
talking about different mining and modeling steps.
D.
… an idealized and overly simplified model that
doesn’t really fit the complex applications I work with.
E.
… a new name for an old trick.
F.
Other. (please specify)
A.
I agree.
B.
I disagree.
A.
A framework for global modeling from local patterns.
B.
Local pattern discovery.
C.
Pattern subset selection.
D.
Metrics for pattern subset selection.
E.
Efficient implementations of pattern subset selection.
F.
Global modeling.
G.
Global modeling from sets of patterns.
H.
Propagation of constraints: translating global constraints on the model
into constraints of the local patterns.
I.
General purpose constraints: finding local patterns that are useful for
a variety of global models.
J.
Parallel Universes.
K.
Not-LeGo related subjects.
L.
Other. (please specify)
A.
A framework for global modeling from local patterns.
B.
Local pattern discovery.
C.
Pattern subset selection.
D.
Metrics for pattern subset selection.
E.
Efficient implementations of pattern subset selection.
F.
Global modeling.
G.
Global modeling from sets of patterns.
H.
Propagation of constraints: translating global constraints on the model
into constraints of the local patterns.
I.
General purpose constraints: finding local patterns that are useful for
a variety of global models.
J.
Parallel Universes.
K.
Not-LeGo related subjects.
L.
Other. (please specify)
A.
I agree. There is still a lot of research to be done in this area.
B.
I disagree. Most of the problems have been solved.
C.
I don’t care either way.
A.
Yes, an edited volume.
B.
Yes, a journal special issue.
C.
No.
A. An edited volume.
B.
A journal special
issue.
C.
Either.
D.
Neither.
…