Difference between revisions of "IPM 2008"

Latest revision as of 04:45, 22 December 2011

Articels like this make life so much simpler.

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-{{Event
+Articels like this make life so much simpler.
- | Acronym = IPM 2008
- | Title = The 2nd International Workshop on the Induction of Process Models
- | Type = Workshop
- | Series =
- | Field = Computer security and reliability
- | Homepage = wwwkramer.in.tum.de/ipm08
- | Start date = Sep 15, 2008
- | End date =  Sep 15, 2008
- | City= Antwerp
- | State =
- | Country =  Belgium
- | Abstract deadline =
- | Submission deadline = Jun 16, 2008
- | Notification = Jun 30, 2008
- | Camera ready =
-}}
-<pre>
-The 2nd International Workshop on the Induction of Process Models
-(IPM?08) at ECML PKDD 2008, 15 September 2008, Antwerp, Belgium
-http://wwwkramer.in.tum.de/ipm08/
-* Call for Abstracts (deadline June 16th)
-While the worlds of science and business typically meet in the
-presence of a profitable scheme, individuals from both environments
-have interests in analyzing complex data about dynamic systems.
-Whether motivated by a drive to increase system efficiency or to
-understand nature, their shared goal leads to a shared focus on the
-underlying causal processes that explain or produce observed
-phenomena. To this end, researchers construct models from data
-derived from observed system behavior and background knowledge about
-the candidate processes. Traditional literature on regression,
-time-series analysis, and data mining produces descriptive models
-that may reproduce the observed data but cannot explain the
-principal dynamics. Therefore, researchers are called to develop
-methods that capture complex temporal and spatial relationships in
-terms of domain knowledge (e.g., relevant scientific or business
-concepts) and that construct these explanatory process models.
-One can develop both qualitative and quantitative process models
-depending on their intended use. Qualitative approaches to model
-induction include learning state transition models, Petri-nets, and
-learning from (time-stamped) event sequences and event logs.
-Qualitative representations are particularly interesting for
-business applications that aim to discover business processes from
-data. Examples of event logs include process data generated by
-administrative services, health care data about patient handling,
-and logs of workflow tools. In comparison, quantitative approaches
-to model construction are grounded in standard mathematical
-representations (e.g., systems of differential equations).
-Quantitative representations are common in scientific applications,
-and are especially prominent in the environmental and biological
-sciences that deal with complex, natural systems. Notably, the
-business and scientific worlds are not separated by an interest in
-the qualitative or quantitative emphasis of their models. Moreover,
-researchers working in these domains would benefit from approaches
-that integrate the qualitative and quantitative aspects of system
-behavior.
-In this workshop, we aim to attract researchers with an interest in
-inductive process modeling in different formalisms including Petri
-nets, qualitative and quantitative processes, differential
-equations, episode rules, logical rules, and others. Also, although
-we have emphasized the business and scientific domains, we are open
-to any application of process model induction. A non-exhaustive list
-of topics includes:
-- learning structured process models such as Petri net or process
-algebra models from event logs
-- modeling techniques for describing the structure of event data
-such as Markov models
-- learning differential equation models
-- learning in qualitative reasoning representations learning in
-temporal logic
-- learning logical models of state transitions (e.g., by recursive
-clauses)
-- learning from time-stamped event sequences (e.g., episode rules)
-- learning from large databases of trajectories
-- connectionist/subsymbolic models of sequence learning
-- scalable and robust process mining algorithms and techniques
-- process mining evaluation: metrics, approaches and frameworks
-- the adaption of web mining, text mining, temporal data mining
-approaches for inductive process modeling
-Particularly welcome are case studies and applications (e.g., from
-business, the environmental, medical or biological sciences) and
-discussions of the lessons learned from such case studies and papers
-identifying open problems such as dealing with missing and/or noisy
-data, regularization, incorporating background/domain knowledge,
-efficient search through the space of candidate process-based
-models, ... Inductive process modeling and process mining are
-challenging research areas that have the potential to grow in
-importance like graph or sequence mining. On the other hand, process
-mining can benefit from the input of related fields in data mining
-and machine learning, such as temporal data mining, episodes and web
-log mining. In the ECML/PKDD 2008 workshop on the induction of
-process models, we intend to bring scientists together and actively
-identify common research threads, define open problems, and develop
-collaborative contacts. It should provide a more relaxed atmosphere
-than a conference setting where participants are encouraged to ask
-clarifying questions throughout the talks and to move past
-jargon-induced barriers.
-* Submission
-Extended abstracts (two pages in Springer format) should be
-submitted by June 16th, 2008 by email to ipm08@in.tum.de . Final
-versions of accepted papers will appear in the informal ECML/PKDD
-workshop proceedings and will be made available on the workshop
-website before the workshop takes place. Submission implies the
-willingness of at least one of the authors to register and present
-the paper. Authors of accepted abstracts will be asked to submit a
-short 4 to 8 page paper in PDF format (following the Springer LNCS
-guidelines for preparing manuscripts) that describes their research
-in more detail.
-* Important Dates
-Abstracts due June 16th
-Author Notification on June 30th
-Final Papers due August 4th
-Workshop September 15th
-* Organizing Committee
-Will Bridewell, Stanford University, USA
-Toon Calders, Eindhoven University of Technology, The Netherlands
-Ana Karla de Medeiros, Eindhoven University of Technology, The Netherlands
-Stefan Kramer, Technische Universit?t M?nchen, Germany
-Mykola Pechenizkiy, Eindhoven University of Technology, The Netherlands
-Ljupco Todorovski, University of Ljubljana, Slovenia
-	</pre>This CfP was obtained from [http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=3190&amp;copyownerid=2 WikiCFP]

Difference between revisions of "IPM 2008"

Latest revision as of 04:45, 22 December 2011

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