This book constitutes the refereed proceedings of the 5th International Workshop on Document Analysis Systems, DAS 2002, held in Princeton, NJ, USA in August 2002 with sponsorship from IAPR.The 44 revised full papers presented together with 14 short papers were carefuly reviwed and selected for inclusion in the book. All current issues in document analysis systems are adressed. The papers are organized in topical sections on OCR features and systems, handwriting recognition, layout analysis, classifiers and learning, tables and forms, text extraction, indexing and retrieval, document engineering, and new applications.

This book analyzes the development of medical big data projects in Japan.Japan is experiencing unprecedented population aging, and labor productivity has decreased accordingly. Big data analysis of the Japanese medical real-world database (RWD) has the potential to tackle this issue.To allow readers to gain an understanding of Japanese medical big data analysis, the book discusses the original Japanese system that generates medical RWDs in the hospital medical records system, the nationwide standardized health checkup system, and the public medical insurance system in Japan.After introducing four major big data projects in the healthcare-medical field in Japan, the book explains the importance of creating information standards to maintain data quality and to analyze medical big data. It enables readers to analyze which standards are installed in which RWDs, how the standards are maintained, and which issues are prevalent in Japan.This book also describes the ethical processes involved in big data projects involving medical RWDs in Japan.

Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention.The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.

This book constitutes the refereed proceedings of the 10th International Conference on Digital Geometry for Computer Imagery, DGCI 2002, held in Bordeaux, France, in April 2002.The 22 revised full papers and 13 posters presented together with 3 invited papers were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on topology, combinatorial image analysis, morphological analysis, shape representation, models for discrete geometry, segmentation and shape recognition, and applications.

The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse and visualise data. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science. Learning about data is important in many academic and business settings, and R offers a potent and adaptable programming toolbox. The book covers a range of topics, including: importing/exporting data, summarising data, visualising data, managing and manipulating data objects, data analysis (regression, ANOVA and association among others) and programming functions. Regardless of your background or specialty, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.

This book presents six thoroughly reviewed and revised full papers describing selected projects on data mining.Three papers deal with data mining and e-commerce, focusing on sequence rule analysis, association rule mining and knowledge discovery in databases, and intelligent e-marketing with Web mining. One paper is devoted to experience management and process learning. The last two papers report on medical applications, namely on genomic data processing and on case-based reasoning for prognosis of influenza.

This book constitutes the refereed proceedings of the 9th International Static Analysis Symposium, SAS 2002, held in Madrid, Spain in September 2002.The 32 revised full papers presented were carefully reviewed and selected from 86 submissions. The papers are organized in topical sections on theory, data structure analysis, type inference, analysis of numerical problems, implementation, data flow analysis, compiler optimizations, security analyses, abstract model checking, semantics and abstract verification, and termination analysis.

This book constitutes the refereed proceedings of the 9th International Symposium on String Processing and Information Retrieval, SPIRE 2002, held in Lisbon, Portugal in September 2002.The 19 revised full papers and 6 short papers presented together with 3 invited papers were carefully reviewed and selected from 54 submissions. the papers are organzied in topical sections on string matching, string processing, Web ranking and link analysis, pattern matching, digital libraries and applications, approximate searching, and indexing techniques.

Das Buch Unternehmensportale Grundlagen, Architekturen, Technologien ist das erste deutschsprachige Grundlagenwerk uber modernes Informations- und Geschaftsprozessmanagement mit Hilfe von Unternehmensportalen.

Das umfassende Kompendium ist Grundlagenwerk, Kochbuch und Wegweiser fur alle fachlich-inhaltlichen, technischen und betriebswirtschaftlichen Aspekte von Unternehmensportalen. Diese ganzheitliche Sichtweise bietet dem Leser einen umfassenden Uberblick und versetzt ihn grundsatzlich in die Lage, die Einfuhrung eines Unternehmensportals fur das eigene Unternehmen zu kalkulieren, zu planen und durchzufuhren sowie den Betrieb des Unternehmensportals zu organisieren. Checklisten und Best Practices geben dabei konkrete Hilfestellungen."

In recent years we have witnessed the explosion of multimedia traffic on the Internet. The availability of high bandwidth connections together with the recent advances in high quality video and audio compression techniques have created a fertile ground for the growth of multimedia applications such as interactive video on demand, collaborative distance learning, and remote medical diagnosis. Furthermore, the availability of low bit rate video and audio applications (e.g., H.263 and G.728) and the proliferation of pervasive devices create a new demand for wireless multimedia communication systems. After a decade or more of research and development in multimedia networking, the research community has learned a number of lessons. First, increasing the capacity of the "best effort" networks and services does not provide an effective and permanent solution for offering a guaranteed Quality of Service (QoS). Second, the integration of service and network management is a key element in providing end to end service management. Third, management techniques for Internet multimedia services must be scalable and adaptive to guarantee QoS and maintain fairness with optimal network resource.

This book constitutes the refereed proceedings of the Second International Symposium on Medical Data Analysis, ISMDD 2001, held in Madrid, Spain, in October 2001.The 43 revised papers presented together with three invited keynote papers were carefully reviewed and selected from 72 submissions. Among the issues addressed are data analysis and diagnosis, classification, clustering, medical image analysis, Bayesian networks, decision support systems, fuzzy modeling, time series analysis, collaborative filtering, pattern recognition, case-based reasoning, rule-based inference, and computer vision.

Leitlinie dieser Einfuhrung in die Informatik ist die Frage, welche Vorgehensweisen einem Problem informatische Kontur verleihen und welche Techniken zur Verfugung stehen, um Informatiksysteme analysieren oder entwerfen zu konnen.

Modelle enstehen in der Zusammenschau unterschiedlicher Ansichten eines Systems, die durch pragnante Diagramme beschrieben werden: Entity-Relationship-, Systemstruktur-, Zustandsubergangs- und Sequenzdiagramme. Inharenter Bestandteil dieser grafischen Beschreibungstechniken ist die Charakterisierung der zugrundeliegenden Daten (z.B. in funktionaler Programmierung). Die Autoren verwenden in Ihrem Werk AutoFOCUS zum Diagramm-orientierten Systementwurf, zur Konsistenzprufung und zur Simulation. Sie gehen den Fragen nach, wie sich Diagramme in formale Spezifikationen ubertragen lassen, woher eine Systementwicklung ihre Argumente nimmt, nach welchen Methoden verifiziert wird und wie interaktive Theorembeweiser, wie z.B. Isabelle/HOL, arbeiten."

This book is not just another theoretical text on statistics or data mining. Instead, it's designed for database administrators who want to buttress their understanding of statistics to support data mining and customer relationship management analytics and who want to use Structured Query Language (SQL). Each chapter is independent and self-contained with examples tailored to business applications. Each analysis technique is expressed in a mathematical format that lends itself to coding either as a database query or as a Visual Basic procedure using SQL. Each chapter includes: formulas (how to perform the required analysis, numerical example using data from a database, data visualization and presentation options (graphs, charts, tables), SQL procedures for extracting the desired results, and data mining techniques.

Just like the previous workshop at VLDB 1999 in Edinburgh, the purpose of this workshop is to promote telecom data management as one of the core research areas in database research and to establish a strong connection between the telecom and database research communities. As I wrote in the preface of those proceedings, data management in telecommuni- tions is an interesting area of research given the fact that both service management and service provisioning are very data intensive, and pose extreme requirements on data management technology. Given the feedback on the previous workshop we decided to keep the same program set-up for this workshop: an invited speaker, a collection of research papers, and a panel discussion. We received 18 good quality papers from which we selected 12 to construct a very interesting program. The program has been divided into four sections. The first section focuses on CDR data warehouse and data mining technology. Data warehousing and data mining around customer usage data remains an important area of interest for telecommunication operators. The growing competition, especially in the mobile market, means that operators have to put more effort into customer retention and satisfaction. The second section focuses on performance issues around databases in telecommunication. Since telecommunication databases are characterized by their extreme requirements, for example in terms of volumes of data to be processed or response times, high volume data management and embedded and real-time data management are key aspects of the telecommunication data management problems in today s operational environments."

This book constitutes the refereed proceedings of the 5th East European Conference on Advances in Databases and Information Systems, ADBIS 2001, held in Vilnius, Lithuania, in September 2001.
The 25 revised full papers presented together with one invited paper and two abstracts of invited talks were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on query optimization, multimedia and multilingual information systems, spatiotemporal aspects of databases, data mining, transaction processing, conceptual modeling and information systems specification, active databases, query methods, XML, and information systems design.

This book constitutes the refereed proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2001, held in Munich, Germany in September 2001. The 33 revised full papers presented together with one invited paper were carefully reviewed and selected from more than 90 submissions. The papers are organized in topical sections on association rules, mining temporal patterns, data mining techniques, collaborative filtering and Web mining, visualization and matchmaking, development of data warehouses, maintenance of data warehouses, OLAP, and distributed data warehouses.

The real world is perceived and broken down as data, models and algorithms in the eyes of physicists and engineers. Data is noisy by nature and classical statistical tools have so far been successful in dealing with relatively smaller levels of randomness. The recent emergence of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient. Tools such as random matrix theory and the study of large sample covariance matrices can efficiently process these big data sets and help make sense of modern, deep learning algorithms. Presenting an introductory calculus course for random matrices, the book focusses on modern concepts in matrix theory, generalising the standard concept of probabilistic independence to non-commuting random variables. Concretely worked out examples and applications to financial engineering and portfolio construction make this unique book an essential tool for physicists, engineers, data analysts, and economists.

Digital libraries (DLs) are major advances in information technology that frequently fall short of expectations [7, 28]. Covi & Kling [7] argue that understanding the wider context of technology use is essential to understanding digital library use and its - plementation in different social worlds. Recent health informatics research also - gues that social and organisational factors can determine the success or failure of healthcare IT developments [8, 11, 12]. Heathfield [11] suggests that this is due to the complex, autonomous nature of the medical discipline and the specialized (clinician or software engineer) approach to system development. Negative reactions to these systems is often due to inappropriate system design and poor implementation. H- ever, there may be other less obvious social and political repercussions of information system design and deployment. Symon et al [26] have identified, within a hospital scenario, how social structures and work practices can be disrupted by technology implementation. Although these systems often deal with sensitive, personal infor- tion, other system design research has found that apparently innocuous data can be perceived as a threat to social and political stability [1,2,3]. To understand the impact of DLs within the medical profession, an in-depth evaluation is required of the int- duction and later development of these applications within their specific social and organisational settings. However, as Covi & Kling [7] have highlighted, there are few high-level theories that aid designers in understanding the implication of these issues for DL design and implementation.

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 paraaCienciaeaTecnologia,Minist'eriodaCienciaedaTecnologia,Faculdade deCienciaseTecnologia,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: FrankHoppner(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) ThomasBack(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" ,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" cao paraaCienciaeaTecnologia,Minist'eriodaCienciaedaTecnologia,Faculdade deCienciaseTecnologia,UniversidadeNovadeLisboa,Fundacc"aoCalousteG- benkianandIPEInvestimentoseParticipac" coesEmpresariais,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: FrankHoppner(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) ThomasBack(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" caoparaaCienciaeaTecnologia,Minist'eriodaCienciaedaTecnologia FaculdadedeCienciaseTecnologia,UniversidadeNovadeLisboa Fundac" caoCalousteGulbenkian IPEInvestimentoseParticipac" coesEmpresariais,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(Chemnitz University) BuildingModelsofEcologicalDynamicsUsingHMMBasedTemporal DataClustering-APreliminaryStudy...53 CenLi(TennesseeStateUniversity),GautamBiswas(Vanderbilt University),MikeDale(Gri?thUniversity),PatDale(Gri?th University) TaggingwithSmallTrainingCorpora...63 NunoC. Marques(UniversidadeAberta),GabrielPereiraLopes (Centria) ASearchEngineforMorphologicallyComplexLanguages...7 3 UdoHahn(UniversitatFreiburg),MartinHoneck(Universitat sklinikum Freiburg),StefanSchulz(Universitat 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) ThomasBack(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" caoparaaCienciaeaTecnologia,Minist'eriodaCienciaedaTecnologia FaculdadedeCienciaseTecnologia,UniversidadeNovadeLisboa Fundac" caoCalousteGulbenkian IPEInvestimentoseParticipac" coesEmpresariais,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(Chemnitz University) BuildingModelsofEcologicalDynamicsUsingHMMBasedTemporal DataClustering-APreliminaryStudy...53 CenLi(TennesseeStateUniversity),GautamBiswas(Vanderbilt University),MikeDale(Gri?thUniversity),PatDale(Gri?th University) TaggingwithSmallTrainingCorpora...63 NunoC. Marques(UniversidadeAberta),GabrielPereiraLopes (Centria) ASearchEngineforMorphologicallyComplexLanguages...7 3 UdoHahn(UniversitatFreiburg),MartinHoneck(Universitat sklinikum Freiburg),StefanSchulz(Universitat sklinikumFreiburg) ErrorsDetectionandCorrectioninLargeScaleDataCollecting...84 RenatoBruni(Universit'adiRoma),AntonioSassano(Universit'adi Roma) X TableofContents ANewFrameworktoAssessAssociationRules ...95 FernandoBerzal(UniversityofGranada),IgnacioBlanco(University ofGranada),DanielS'anchez(UniversityofGranada), Mar'?a-AmparoVila(UniversityofGranada) CommunitiesofInterest ...105 CorinnaCortes(AT&TShannonResearchLabs),DarylPregibon (AT&TShannonResearchLabs),ChrisVolinsky(AT&TShannon ResearchLabs) AnEvaluationofGradingClassi?ers ...115 AlexanderK. Seewald(AustrianResearchInstituteforArti?cial Intelligence),JohannesFur nkranz(AustrianResearchInstitutefor Arti?cialIntelligence) FindingInformativeRulesinIntervalSequences ...125 FrankHoppner(UniversityofAppliedSciencesEmden), FrankKlawonn(UniversityofAppliedSciencesEmden) Correlation-BasedandContextualMerit-BasedEnsembleFeature Selection...135 SeppoPuuronen(UniversityofJyvaskyla),AlexeyTsymbal(University ofJyvaskyla),IrynaSkrypnyk(UniversityofJyvas kyla) NonmetricMultidimensionalScalingwithNeuralNetworks...145 MichielC. vanWezel(UniversiteitLeiden),WalterA. Kosters (UniversiteitLeiden),PetervanderPutten(UniversiteitLeiden), JoostN. Kok(UniversiteitLeiden) FunctionalTreesforRegression...156 Joao " Gama(UniversityofPorto) DataMiningwithProductsofTrees...167 Jos'eTom'eA. S. Ferreira(ImperialCollege),DavidG. T. Denison (ImperialCollege),DavidJ. Hand(ImperialCollege) 3 SBagging:FastClassi?erInductionMethodwithSubsamplingand Bagging ...177 MasahiroTerabe(MitshibishiResearchInstitute,Inc. ),TakashiWashio (I. S. I. R. ,OsakaUniversity),HiroshiMotoda(I. S. I. R.

This book constitutes the refereed proceedings of the 13th International Conference on Computer Aided Verification, CAV 2001, held in Paris, France in July 2001.The 33 revised full papers presented were carefully reviewed and selected from 106 regular paper submissions; also included are 13 reviewed tool presentations selected from 27 submissions. The book offers topical sections on model checking and theorem proving, automata techniques, verification core technology, BDD and decision trees, abstraction and refinement, combinations, infinite state systems, temporal logics and verification, microprocessor verification and cache coherence, SAT and applications, and timed automata.

Context has emerged as a central concept in a variety of contemporary app- aches to reasoning. The conference at which the papers in this volume were presented was the third international, interdisciplinary conference on the topic of context, and was held in Dundee, Scotland on July 27-30, 2001. The ?rst conference in this series was held in Rio de Janiero in 1997, and the second in Trento in 1999. Like the previous conferences, CONTEXT 2001 was remarkably successful in bringing together representatives of many di?erent ?elds, spanning the entire range of the cognitive and informational sciences, and with interests ranging from speci?c, commercial applications to highly general philosophical and logical theories. The papers collected here demonstrate well the range of context-related - search. While foundational problems remain, and continue to be discussed in many of the contributions collected in this volume, the work shows increased - phistication about what forms of reasoning are important, and what techniques are appropriate in accounting for them. The papers themselves, however, do not convey the lively excitement of the conference itself, and the continuing spirit of cooperation and communication across disciplines that has been the hallmark of these conferences. We are very pleased that the ?eld of context research has shown over four years intense, sustained development while retaining this sense of interdisciplinary cooperation.

Die Informationslogistik wird zum Wettbewerbsfaktor fur Unternehmen. Die Versorgung von Entscheidungstragern mit integrierten Informationen ermoglicht effiziente und effektive Entscheidungsprozesse in Alignment mit den strategischen Zielen des Unternehmens. Dazu wird ein ganzheitlicher, bereichsubergreifender Ansatz benotigt, der die inharenten Synergiepotenziale einer Informationslogistik umfassend nutzt.

Dieses Buch gibt erstmals einen Gesamteindruck uber den State of the Art und Entwicklungsrichtungen der integrierten Informationslogistik aus Managementsicht. Auf Grundlage des St. Galler Business Engineering-Frameworks werden aktuelle Herausforderungen und Losungsansatze der Informationslogistik ganzheitlich und konsistent betrachtet und Hinweise zur Gestaltung der Informationslogistik auf den Ebenen Strategie, Organisation und Informationssysteme gegeben. Ausgewahlte Schwerpunktthemen vertiefen fur die Umsetzung relevante Fragestellungen. Schliesslich zeigen aktuelle Fallstudien konkrete Realisierungsmoglichkeiten in der unternehmerischen Praxis auf."

Data has dramatically changed how our world works. Understanding and using data is now one of the most transferable and desirable skills. Whether you're an entrepreneur wanting to boost your business, a jobseeker looking for that employable edge, or simply hoping to make the most of your current career, Confident Data Skills is here to help. This updated second edition takes you through the basics of data: from data mining and preparing and analysing your data, to visualizing and communicating your insights. It now contains exciting new content on neural networks and deep learning. Featuring in-depth international case studies from companies including Amazon, LinkedIn and Mike's Hard Lemonade Co, as well as easy-to understand language and inspiring advice and guidance, Confident Data Skills will help you use your new-found data skills to give your career that cutting-edge boost. About the Confident series... From coding and web design to data, digital content and cyber security, the Confident books are the perfect beginner's resource for enhancing your professional life, whatever your career path.

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Computability and Complexity in Analysis, CCA 2000, held in Swansea, UK, in September 2000.The 23 revised full papers presented together with a report on a competition of exact real arithmetic systems were carefully selected from 28 papers accepted for presentation during the workshop. The book presents a cross-section on current research on computability and complexity in analysis.

This book gives a unique account of the emerging field of Web engineering by presenting 25 thoroughly reviewed papers drawn from two recent workshops on the topic together with introductory and motivating surveys and a list of Web engineering resources in chapters on - Web engineering: introduction and perspectives - Web-based system development: process and methodology - Managing information on the Web - Development tools, skills, and case studies - Performance, testing, and Web metrices - Web maintenance and reuseThe book will appeal equally to researchers, students, professionals and practitioners in industry interested in developing, maintaining, and using advanced Web-based systems and applications.