Graham Williams – författare

Beginning by positioning sincerity as an ideology at the intersection of historical pragmatics and the history of emotions, the author demonstrates how changes in the relationship between outward expression and inward emotions changed English language and literature.

The focus on doing data mining rather than just reading about data mining is refreshing.The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment.

ThePaci?cRimInternationalConferenceonArti?cialIntelligence(PRICAI)is theleadingconferenceinthePaci?cRimregionforthepresentationofresearch andthelatestdevelopmentsinArti?cialIntelligence,includingtheapplication of AI to problems of social and economic importance. PRICAI 2000 was the sixthinthebiennialseriesofconferencesandwasheldinMelbourne,Australia, August28-September1,2000. ThePRICAI2000workshopsweredesignedtoprovideaforumforrese- chersandpractitionerstopresentandexchangethelatestdevelopmentsatthe AIfrontier. Workshopsaremorespecializedandonasmallerscalethancon- rencestofacilitateactiveinteractionamongtheattendees. TheyencourageAI theoriestomeetreality,AIresearcherstoworkwithpractitioners,andviceversa. Throughworkshops,bothsidesgetexposuretoevolvingresearchandtools,and tothepracticalproblemstowhichAIcanbeapplied. Asanexcellentindicator ofthecurrentlevelofactiveresearchanddevelopmentactivities,PRICAI2000 includedatotalofsevenworkshops:AIandtheInternet,IntelligentInfor- tionAgents,ApplicationsofAIinIndustry,Multi-AgentSystems,TextandWeb Mining,AIinE-Commerce,andTeamswithAdjustableAutonomy. The work from four of the seven workshops has formed this unique coll- tion of four parts.PartI reports on Applications of AI in Industry;PartII coversAIinE-Commerce;PartIII detailsIntelligentInformationAgents,and PartIV discussestheissuesofTeamworkandAdjustableAutonomyinAgents. Eachworkshoppaperwasacceptedafterreviewbyatleasttwoexperts. Further improvementswereincludedinmanypapersinpreparationforthiscollection. Readerscan?nddiversetopicsandcarefuldiscussionscenteredaroundthefour importantthemesinoureverchangingworld. Thiscollectionplaysanimp- tantroleinbridgingthegapbetweenAItheoryandpractice,toemphasizethe importanceofAIintheresearchanddevelopmentofAgents,E-Commerce,and inmanyreal-worldapplications,andtopublicizeandextendAItechnologyto manydomainsinthisfastmovinginformationage. Thechairsoftheworkshopsdidanexcellentjobinbringingtogethermany AIresearchersandpractitionersfromthePaci?c-Asiaregionandfromallover the world. The well received workshops at PRICAI 2000 and the publication ofthiscollectionhaveconvincinglyshownthesigni?canceandpracticalimpact oftheworkpresentedinthiscollection. ProfessorNancyReed'sgreate?ortin producingthisspecial,?necollectionwillbeapplaudedandappreciatedbymany. IamcertainthatthiscollectionwillstimulatemoreAIresearchandapplications, in?uencemanygraduatestudentstoconductresearchanddevelopmentinAI, and have a positive impact toward making our future better by creating an increasinglyintelligentworld.June2001 HuanLiu TableofContents I ApplicationsofArti?cialIntelligenceinIndustry Arti?cialIntelligenceinIndustry...3 GrahamJ. WilliamsandDicksonLukose ApplyingBehavior-OrientedRoboticstoaMobileSecurityDevice ...5 AndreasBirkandHolgerKenn OntologyDesignandItsApplicationinthePetroleum RemediationDomain...16 Lin-LiChenandChristineW. Chan ASalesAgentforWebsitePersonalization ...24 WeiqinChen,RyanShaw,LeifMortenson,TomFoley, andRiichiroMizoguchi AnomalyDetectionofCopmuterUsageUsingArti?cial IntelligenceTechniques ...31 JonghoChoyandSung-BaeCho ApplicationofSelf-OrganizingMapstoClassi?cationandBrowsing ofFAQE-mails...44 Hyun-DonKimandSung-BaeCho ModelBasedProgramSpeci?cationandProgramGeneration-InaCase ofVehicle-EngineControlSystemDesign...56 SetsuoOhsuga,ShunsukeChigusa,andKatsuyukiSugaya Classi?cationBaseduponFrequentPatterns...72 WimPijlsandRobPotharst AnEvolutionaryApproachtoConstraint-BasedTimetabling ...80 DharmendraSharmaandNivleshChandra BOKS:ARule-BasedSysteminSupportoftheDutchBuilding MaterialsRegulations ...93 PieterSpronckandKlaasSchilstra UsingXMLasaLanguageInterfaceforAIApplications ...103 SaidTabet,PrabhakarBhogaraju,andDavidAsh INFOSHOP:ADecisionSupportToolforLocalGovernment RegulatoryAdvice ...111 IanWatson VIII TableofContents UsingBoostingtoDetectNoisyData...123 VirginiaWheway II Arti?cialIntelligenceinElectronicCommerce Arti?cialIntelligenceinElectronicCommerce...133 RyszardKowalczykandMariaLee ConceptualStructuresforTenderingOntology...135 AhmadKayedandRobertM. Colomb VirtualEnterpriseDesign-BDIAgentsvs. Objects ...147 IyadRahwan,RyszardKowalczyk,andYunYang AgentBasedArchitectureforInternetMarketing ...158 SukunesanSinnappan,Mary-AnneWilliams,andSivaMuthaly PossibilisticReasoningforIntelligentPaymentAgents ...170 OnWongandRaymondLau AWeb-BasedNegotiationAgentUsingCBR ...183 DongMeiZhangandWaiYatWong III IntelligentInformationAgents IntelligentInformationAgents...199 SengWaiLoke RelationshipsbetweenLogicProgrammingandRDF ...201 HaroldBoley AnApproachtoBuildingMobileIntelligentAgentsBasedon AnytimeMigration...219 NaokiFukuta,TakayukiIto,andToramatsuShintani Knowledge-BasedInformationAgents ...229 XiaoyingGaoandLeonSterling DesigningPerceptionModulestoShapeInformationforAgents...239 ClintHeinze,AdrianPearce,LeonSterling,andSimonGoss DesignofaVisulizationAgentforWWWInformation...249 HironoriHiraishi,HiroshiSawai,andFumioMizoguchi TableofContents IX RevisableAnalysisandDesignbyActorsInteraction: EmergencyCaseStudy ...259 HassenKriaaandGuyGouard'eres ALogic-BasedApproachforAdaptiveInformationFilteringAgents ...269 RaymondLau,ArthurH. M. terHofstede,andPeterD. Bruza TheUserAgent:AnApproachforServiceandPro?leManagement inWirelessAccessSystems...279 CarstenPilsandJensHartmann SystemAnalysisofAgent-BasedLCCInformationGathering...289 TiemeiIreneZhangandElizabethKendall IV TeamworkandAdjustableAutonomyinAgents TeamworkandAdjustableAutonomyinAgents...301 NancyE. Reed ACommunicationProtocolSupportingDynamicAutonomy AgreementsinMulti-agentSystems ...303 K. SuzanneBarber,CherylE. Martin,andRyanM. McKay DesigningHuman-CenteredAutonomousAgents...321 GregoryDoraisandDavidKortenkamp ACognitiveModelofSituatedAutonomy...325 HenryHexmoor DesigninganArchitectureforAdjustablyAutonomousRobotTeams ...

Five high-quality workshops were held at the 13th Paci?c-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009) in Bangkok, Thailand during April 27-30, 2009. There were 17, 6, 9, 4 and 5 accepted papers to be presented at the Paci?c Asia Workshop on Intelligence and Security Informatics (PAISI 2009), the workshop on Advances and Issues in Biomedical Data Mining (AIBDM 2009), the workshop on Data Mining with Imbalanced Classes and Error Cost (ICEC 2009),the workshopon Open Source in Data Mining (OSDM 2009), and the workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2009). One competition, PAKDD 2009 Data Mining Competition, and one local workshop, Thai Track Session, were arranged. From these workshops (except PAISI which published its works in separate LNCS proceedings), we selected two or three best papers for this LNCS publication. PAKDD is a major international conference in the areas of data mining (DM) and knowledge discovery in database (KDD).It provides an internationalforum for researchersand industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scienti?c discovery, data visualization, causal induction and knowledge-based systems. In general,we wish to thank our General WorkshopCo-chairs,Manabu O- mura and Bernhard Pfahringe, for selecting and coordinating the great wo- shops. WewouldliketothankJunbinGao(CharlesSturtUniversity),PaulKwan (UniversityofNewEngland,Australia),JosiahPoon(UniversityofSydney),and Simon Poon (University of Sydney), for their arrangement of AIBDM 2009.

This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017.The 17 revised full papers presented together with 11 research track papers and 6 application track papers were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on clustering and classification; big data; time series; outlier detection and applications; social media and applications.

This book constitutes the refereed proceedings of the 17th Australasian Conference on Data Mining, AusDM 2019, held in Adelaide, SA, Australia, in December 2019.The 20 revised full papers presented were carefully reviewed and selected from 56 submissions.

This book constitutes the refereed proceedings of the 19th Australasian Conference on Data Mining, AusDM 2021, held in Brisbane, Queensland, Australia, in December 2021.* The 16 revised full papers presented were carefully reviewed and selected from 32 submissions.