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ThesearetheproceedingsofthefourthbiennialconferenceintheIntelligentData Analysisseries. TheconferencetookplaceinCascais,Portugal,13 15September 2001. Thethemeofthisconferenceseriesistheuseofcomputersinintelligent waysindataanalysis,includingtheexplorationofintelligentprogramsfordata analysis. Dataanalytictoolscontinuetodevelop,drivenbythecomputerrevo- tion. Methodswhichwouldhaverequiredunimaginableamountsofcomputing power,andwhichwouldhavetakenyearstoreachaconclusion,cannowbe appliedwitheaseandvirtuallyinstantly. Suchmethodsarebeingdevelopedby avarietyofintellectualcommunities,includingstatistics,arti?cialintelligence, neuralnetworks,machinelearning,datamining,andinteractivedynamicdata visualization. Thisconferenceseriesseekstobringtogetherresearchersstudying theuseofintelligentdataanalysisinthesevariousdisciplines,tostimulate- teractionsothateachdisciplinemaylearnfromtheothers. Soastoencourage suchinteraction,wedeliberatelykepttheconferencetoasingletrackmeeting. Thismeantthat,ofthealmost150submissionswereceived,wewereableto selectonly23fororalpresentationand16forposterpresentation. Inaddition tothesecontributedpapers,therewasakeynoteaddressfromDarylPregibon, invitedpresentationsfromKatharinaMorik,RolfBackhofen,andSunilRao,and aspecial datachallenge session,whereresearchersdescribedtheirattemptsto analyseachallengingdatasetprovidedbyPaulCohen. Thisacceptancerate enabledustoensureahighqualityconference,whilealsopermittingustop- videgoodcoverageofthevarioustopicssubsumedwithinthegeneralheading ofintelligentdataanalysis. Wewouldliketoexpressourthanksandappreciationtoeveryoneinvolved intheorganizationofthemeetingandtheselectionofthepapers. Itisthe behind-the-scenese?ortswhichensurethesmoothrunningandsuccessofany conference. Wewouldalsoliketoexpressourgratitudetothesponsors:Fundac ao paraaCi enciaeaTecnologia,Minist eriodaCi enciaedaTecnologia,Faculdade deCi enciaseTecnologia,UniversidadeNovadeLisboa,Funda c aoCalousteG- benkianandIPEInvestimentoseParticipac oesEmpresariais,S. A. September2001 FrankHo?mann DavidJ. Hand NiallAdams GabrielaGuimaraes DougFisher Organization IDA2001wasorganizedbythedepartmentofComputerScience,NewUniversity ofLisbon. ConferenceCommittee GeneralChair: DouglasFisher(VanderbiltUniversity,USA) ProgramChairs: DavidJ. Hand(ImperialCollege,UK) NiallAdams(ImperialCollege,UK) ConferenceChair: GabrielaGuimaraes(NewUniversityofLisbon,Portugal) PublicityChair: FrankH oppner(Univ. ofAppl. SciencesEmden,Germany) PublicationChair: FrankHo?mann(RoyalInstituteofTechnology,Sweden) LocalChair: FernandoMoura-Pires(UniversityofEvora,Portugal) AreaChairs: RobertaSiciliano(UniversityofNaples,Italy) ArnoSiebes(CWI,TheNetherlands) PavelBrazdil(UniversityofPorto,Portugal) ProgramCommittee NiallAdams(ImperialCollege,UK) PieterAdriaans(Syllogic,TheNetherlands) RussellAlmond(EducationalTestingService,USA) ThomasB ack(InformatikCentrumDortmund,Germany) RiccardoBellazzi(UniversityofPavia,Italy) MichaelBerthold(Tripos,USA) LiuBing(NationalUniversityofSingapore) PaulCohen(UniversityofMassachusetts,USA) PaulDarius(LeuvenUniversity,Belgium) FazelFamili(NationalResearchCouncil,Canada) DouglasFisher(VanderbiltUniversity,USA) KarlFroeschl(UniversityofVienna,Austria) AlexGammerman(RoyalHolloway,UK) AdolfGrauel(UniversityofPaderborn,Germany) GabrielaGuimaraes(NewUniversityofLisbon,Portugal) LawrenceO. Hall(UniversityofSouthFlorida,USA) FrankHo?mann(RoyalInstituteofTechnology,Sweden) AdeleHowe(ColoradoStateUniversity,USA) Klaus-PeterHuber(SASInstitute,Germany) DavidJensen(UniversityofMassachusetts,USA) JoostKok(LeidenUniversity,TheNetherlands) RudolfKruse(UniversityofMagdeburg,Germany) FrankKlawonn(UniversityofAppliedSciencesEmden,Germany) VIII Organization HansLenz(FreeUniversityofBerlin,Germany) DavidMadigan(Soliloquy,USA) RainerMalaka(EuropeanMediaLaboratory,Germany) HeikkiMannila(Nokia,Finland) FernandoMouraPires(UniversityofEvora,Portugal) SusanaNascimento(UniversityofLisbon,Portugal) WayneOldford(UniversityofWaterloo,Canada) AlbertPr
Inhaltsverzeichnis
The Fourth International Symposium on Intelligent Data Analysis.- Feature Characterization in Scientific Datasets.- Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation.- Generating Fuzzy Summaries From Fuzzy Multidimensional Databases.- A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets.- Predicting Time-Varying Functions with Local Models.- Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering - A Preliminary Study.- Tagging with Small Training Corpora.- A Search Engine for Morphologically Complex Languages.- Errors Detection and Correction in Large Scale Data Collecting.- A New Framework to Assess Association Rules.- Communities of Interest.- An Evaluation of Grading Classifiers.- Finding Informative Rules in Interval Sequences.- Correlation-Based and Contextual Merit-Based Ensemble Feature Selection.- Nonmetric Multidimensional Scaling with Neural Networks.- Functional Trees for Regression.- Data Mining with Products of Trees.- S 3Bagging: Fast Classifier Induction Method with Subsampling and Bagging.- RNA-Sequence-Structure Properties and Selenocysteine Insertion.- An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes.- An Empirical Comparison of Pruning Methods for Ensemble Classifiers.- A framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis.- Using Multiattribute Prediction Suffix Graphs for Spanish Part-of-Speech Tagging.- Self-Supervised Chinese Word Segmentation.- Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules.- Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables.- Fluent Learning: Elucidatingthe Structure of Episodes.- An Intelligent Decision Support Model for Aviation Weather Forcasting.- MAMBO: Discovering Association Rules Based on Conditional Independencies.- Model Building for Random Fields.- Active Hidden Markov Models for Information Extraction.- Adaptive Lightweight Text Filtering.- General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks.- Investigating Temporal Patterns of Fault Behaviour Within Large Telephony Networks.- Closed Set Based Discovery of Representative Association Rules.- Intelligent Sensor Analysis and Actuator Control.- Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery.- The IDA'01 Robot Data Challenge.- The IDA'01 Robot Data Challenge.
Über den Autor / die Autorin
David J. Hand, Professor em. Für Mathematik und Senior Research Investigator am Imperial College London, ist ehemaliger Präsident der Royal Statistical Society und derzeit wissenschaftlicher Chefberater von Winston Capital Management, einem der erfolgreichsten auf automatisierten (algorithmischen) Handel spezialisierten Hedgefonds in Europa. David Hand lebt in London.
