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The International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the m- agement of uncertainty and aggregation of information in intelligent systems. Since 1986, this conference has been providing a forum for the exchange of ideas th between theoreticians and practitioners working in these areas. The 13 IPMU conference took place in Dortmund, Germany, June 28-July 2, 2010. This volumecontains77papersselectedthrougharigorousreviewingprocess among 320 submissions from 36 countries. The contributions re?ect the richness of research in the?eld of computational intelligence and represent several - portant developments, speci?cally focused on the following sub?elds: (a) machine learning, data mining, and pattern recognition, (b) uncertainty handling, (c) aggregation and fusion of information, (d) logic and knowledge processing. We were delighted that Melanie Mitchell (Portland State University, USA), NihkilR. Pal(IndianStatisticalInstitute), BernhardSch· olkopf(MaxPlanckI- titute for Biological Cybernetics, Tubing · en, Germany) and Wolfgang Wahlster (German Research Center for Arti?cial Intelligence, Saarbruc · ken) accepted our invitationstopresentkeynotelectures. JimBezdekreceivedtheKampþedeFþ eriet Award, grantedeverytwo yearsonthe occasionofthe IPMUconference, in view ofhiseminentresearchcontributionstothehandlingofuncertaintyinclustering, data analysis and pattern recognition.
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