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Advances in Intelligent Data Analysis : 4th International Conference, Ida 2001, Cascais, Portugal, September 13-15, 2001. Proceedings - Frank Hoffmann

Advances in Intelligent Data Analysis

4th International Conference, Ida 2001, Cascais, Portugal, September 13-15, 2001. Proceedings

By: Frank Hoffmann (Editor), David J. Hand (Editor), Niall M. Adams (Editor), Douglas Fisher (Editor), Gabriela Guimaraes (Editor)

Paperback Published: 5th September 2001
ISBN: 9783540425816
Number Of Pages: 388

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Wewouldalsoliketoexpressourgratitudetothesponsors:Fundac ¸ao paraaCienciaeaTecnologia,Minist´eriodaCienciaedaTecnologia,Faculdade deCienciaseTecnologia,UniversidadeNovadeLisboa,Funda¸caoCalousteG- 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) AlbertPrat(TechnicalUniversityofCatalunya,Spain) PeterProtzel(TechnicalUniversityChemnitz,Germany) GiacomodellaRiccia(UniversityofUdine,Italy) RosannaSchiavo(UniversityofVenice,Italy) KaisaSere(AboAkademiUniversity,Finland) RobertaSiciliano(UniversityofNaples,Italy) RosariaSilipo(Nuance,USA) FloorVerdenius(ATO-DLO,TheNetherlands) StefanWrobel(UniversityofMagdeburg,Germany) HuiXiaoLiu(BrunelUniversity,UK) NevinZhang(HongKongUniversityofScienceandTechnology,HongKong) SponsoringInstitutions Fundac ¸aoparaaCienciaeaTecnologia,Minist´eriodaCienciaedaTecnologia FaculdadedeCienciaseTecnologia,UniversidadeNovadeLisboa Fundac ¸aoCalousteGulbenkian IPEInvestimentoseParticipac ¸oesEmpresariais,S. A. TableofContents TheFourthInternationalSymposiumonIntelligentData Analysis FeatureCharacterizationinScienti?cDatasets. . . . . . . . . . . . . . . . . . . . . . . . . 1 ElizabethBradley(UniversityofColorado),NancyCollins(University ofColorado),W. PhilipKegelmeyer(SandiaNationalLaboratories) RelevanceFeedbackintheBayesianNetworkRetrievalModel: AnApproachBasedonTermInstantiation. . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 LuisM. deCampos(UniversityofGranada),JuanM. Fernan ´ dez-Luna (UniversityofJa´en),JuanF. Huete(UniversityofGranada) GeneratingFuzzySummariesfromFuzzyMultidimensionalDatabases. . . . 24 AnneLaurent(Universit´ePierreetMarieCurie) AMixture-of-ExpertsFrameworkforLearningfromImbalancedData Sets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 AndrewEstabrooks(IBM),NathalieJapkowicz(UniversityofOttawa) PredictingTime-VaryingFunctionswithLocalModels. . . . . . . . . . . . . . . . . . 44 AchimLewandowski(ChemnitzUniversity),PeterProtzel(Chemn

Feature Characterization in Scientific Datasetsp. 1
Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiationp. 13
Generating Fuzzy Summaries from Fuzzy Multidimensional Databasesp. 24
A Mixture-of-Experts Framework for Learning from Imbalanced Data Setsp. 34
Predicting Time-Varying Functions with Local Modelsp. 44
Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering - A Preliminary Studyp. 53
Tagging with Small Training Corporap. 63
A Search Engine for Morphologically Complex Languagesp. 73
Errors Detection and Correction in Large Scale Data Collectingp. 84
A New Framework to Assess Association Rulesp. 95
Communities of Interestp. 105
An Evaluation of Grading Classifiersp. 115
Finding Informative Rules in Interval Sequencesp. 125
Correlation-Based and Contextual Merit-Based Ensemble Feature Selectionp. 135
Nonmetric Multidimensional Scaling with Neural Networksp. 145
Functional Trees for Regressionp. 156
Data Mining with Products of Treesp. 167
S[superscript 3] Bagging: Fast Classifier Induction Method with Subsampling and Baggingp. 177
RNA-Sequence-Structure Properties and Selenocysteine Insertionp. 187
An Algorithm for Segmenting Categorical Time Series into Meaningful Episodesp. 198
An Empirical Comparison of Pruning Methods for Ensemble Classifiersp. 208
A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysisp. 218
Using Multiattribute Prediction Suffix Graphs for Spanish Part-of-Speech Taggingp. 228
Self-Supervised Chinese Word Segmentationp. 238
Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rulesp. 248
Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variablesp. 258
Fluent Learning: Elucidating the Structure of Episodesp. 268
An Intelligent Decision Support Model for Aviation Weather Forcastingp. 278
MAMBO: Discovering Association Rules Based on Conditional Independenciesp. 289
Model Building for Random Fieldsp. 299
Active Hidden Markov Models for Information Extractionp. 309
Adaptive Lightweight Text Filteringp. 319
A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networksp. 330
Investigating Temporal Patterns of Fault Behaviour within Large Telephony Networksp. 340
Closed Set Based Discovery of Representative Association Rulesp. 350
Intelligent Sensor Analysis and Actuator Controlp. 360
Sampling of Highly Correlated Data for Polynomial Regression and Model Discoveryp. 370
The IDA'01 Robot Data Challengep. 378
Author Indexp. 383
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540425816
ISBN-10: 3540425810
Series: Lecture Notes in Physics,
Audience: General
Format: Paperback
Language: English
Number Of Pages: 388
Published: 5th September 2001
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6  x 2.11
Weight (kg): 0.56