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The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence.

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism responds by presenting a clear and comprehensive overview of Web mining, with emphasis on CRM and, for the first time, security and counter-terrorism applications. The tools and methods of Web mining are revealed in an easy-to-understand style, emphasizing the importance of practical, hands-on experience in the creation of successful e-business solutions.

The author, a program director for Data and Applications Security at the National Science Foundations, details how both opportunities and dangers on the Web can be identified and managed. Armed with the knowledge contained in this book, businesses can collect and analyze Web-based data to help develop customer relationships, increase sales, and identify existing and potential threats. Organizations can apply these same Web mining techniques to battle the real and present danger of terrorism, demonstrating Web mining's critical role in the intelligence arsenal.

The explosion of Web-based data has created a demand among executives and technologists for tools and strategies to gather, analyze and utilize online information. This book describes key concepts in Web mining and discusses resulting applications in business intelligence and counter-terrorism. Armed with the knowledge contained in this book, businesses can collect and analyze critical data in order to find and develop relationships with new customers, increase sales, and identify potential threats. Government organizations can apply these same Web mining techniques to battle the real and present danger of terrorism.

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Introduction	TrendsSupporting Technologies for Web Data MiningWeb Data Mining ConceptsWeb Data Mining and Counter-TerrorismOrganization of This BookHow Do We Proceed?PART 1 SUPPORTING TECHNOLOGIES FOR WEB DATA MININGWORLD WIDE WEB AND E-COMMERCEEvolution of the WebIntroduction to E-CommerceRelationship to Web Data MiningSummaryDATA MINING	Data Mining TechnologiesConcepts and Techniques in Data Mining	Directions and Trends in Data Mining	Relationship to Web MiningSummaryCORE DATA MINING TECHNOLOGIESData Management and Data Warehousing	Statistical Reasoning	Machine Learning	Visualization	Parallel Processing	Decision Support	Architectural Support for Data Mining	Relationship to Web Data Mining	Summary	WEB DATABASE MANAGEMENTWeb Databases	Semi-Structured Databases	Metadata, Ontologies, and the Web	Distributed, Heterogeneous and Legacy Databases on the Web		Data Warehousing on the Web	Architectural Aspects		Relationship to Web Data Mining	Summary	INFORMATION RETRIEVAL SYSTEMSText Retrieval	Image Retrieval	Video Retrieval	Audio Retrieval	Multimedia Data and Information Management	Question Answering Systems	Markup Languages	Relationship to Web Data Mining	Summary	INFORMATION MANAGEMENT TECHNOLOGIESCollaboration and Data Management	Knowledge Management	Agents for the Web	Training and Distance Learning	Wireless Information Management and Pervasive Computing	Sensor Information Management	Quality-Of-Service Aspects	Some Directions	Relationship to Web Data Mining	Summary	THE SEMANTIC WEBSemantic Web Concepts	RDF	Role of Ontologies	Agents and the DAML Program	Semantic Web as a Database	XML, RDF, and Interoperability	Web Services	Note on E-Commerce and Semantic Web	Web versus the Semantic Web	Data Mining and the Semantic Web	Summary	PART 2 WEB DATA MINING TECHNIQUES, TOOLS, AND TRENDSDATA MINING AND THE WEBMining Data on the WebMining Usage PatternsWeb Structure MiningApplications and DirectionsSummaryPROCESSES AND TECHNIQUES FOR WEB DATA MININGProcess of Web Data Mining	Web Data Mining Outcomes, Approaches, and Techniques	Web Data Mining versus Data MiningSummaryMINING THE DATABASES ON THE WEBConcepts in Web Database Mining	Mining Semi-Structured Databases	Metadata and Web Mining	Mining Distributed, Heterogeneous, Legacy, and Federated Databases on the Web	Architectures and Web Data Mining	Summary	INFORMATION RETRIEVAL AND WEB DATA MININGSearch Engines and Web Data Mining	Multimedia Data Mining and the Web	Some Other Aspects	Summary	INFORMATION MANAGEMENT AND WEB DATA MININGCollaborative Data MiningKnowledge Management and Web Data MiningTraining and Web Data MiningAgents and Web Data MiningWireless Computing and Web Data MiningSensor Web MiningQuality of Service and Web Data MiningOther AspectsSummarySEMANTIC WEB MININGConcepts In Semantic Web MiningXML, RDF, and Web Data MiningOntologies and Web Data MiningAgents and Web Data MiningWeb Mining and the Semantic Web as a DatabaseSemantic Interoperability and Web MiningWeb Services and Web MiningWeb Mining versus Semantic Web MiningA Note on E-Commerce and Semantic Web MiningSummaryMINING USAGE PATTERNS AND STRUCTURE ON THE WEBWeb Usage Mining Outcomes and TechniquesWeb Usage Mining AnalysisCRM and Business Intelligence ApplicationsMining Structure on the WebSummaryPROTOTYPES, PRODUCTS, AND STANDARDS FOR WEB DATA MININGPrototypes and Products for Data MiningWeb Data Mining ProductsStandards for Web MiningSummarySOME APPLICATIONS FOR WEB MININGE-Commerce And E-BusinessBusiness IntelligenceCustomer Relationship ManagementMarketing and SalesEnterprise Resource ManagementManufacturing and PlanningEducation and TrainingTelecommunicationsFinancialPhysical Sciences, Social Sciences, and EngineeringMedicine and BiotechnologyCounter-TerrorismSummaryPART 3 WEB DATA MINING APPLICATIONS FOR COUNTER-TERRORISMSOME INFORMATION ON TERRORISM, SECURITY THREATS, AND PROTECTION MEASURESNatural Disasters and Human ErrorsNon-Information Related TerrorismInformation Related TerrorismBio-Terrorism, Chemical, and Nuclear AttacksAttacks on Critical InfrastructuresNon Real-Time Threats versus Real-Time ThreatsAspects of Counter-TerrorismA Note on PrivacySummaryWEB DATA MINING FOR COUNTER-TERRORISMWeb Data Mining for Counter-TerrorismAnalyzing the TechniquesLink AnalysisSummaryMINING THE WEB DATABASES FOR COUNTER-TERRORISMWeb Database MiningSemi-Structured Database MiningMetadata MiningWarehouse MiningDistributed and Heterogeneous Database MiningOther AspectsSummaryINFORMATION RETRIEVAL AND WEB MINING FOR COUNTER-TERRORISMExploiting and Using Intelligent Search EnginesApplying Multimedia Data MiningOther AspectsSummaryINFORMATION MANAGEMENT AND WEB MINING FOR COUNTER-TERRORISMCollaborative Data MiningKnowledge Management and Web MiningTraining and Web MiningAgents and Web MiningWireless Information Management and Web MiningSensor Information Management and Web MiningQuality of Service and Web MiningSome Other AspectsSummarySEMANTIC WEB MINING FOR COUNTER-TERRORISMSemantic Web Mining for Counter-TerrorismBuilding the Semantic Web and Web Mining for Counter-TerrorismSummaryWEB USAGE AND STRUCTURE MINING FOR COUNTER-TERRORISMWeb Usage Mining for Counter-TerrorismWeb Structure Mining for Counter-TerrorismSummaryNATIONAL SECURITY, PRIVACY, CIVIL LIBERTIES, AND WEB MININGBackground on the Inference ProblemMining, Warehousing, and InferenceInductive Logic Programming and InferencePrivacy IssuesInference Problem and PrivacyPrivacy Enhanced Data MiningCivil Liberties versus National SecuritySummaryREVISITING SECURITY THREATS WITH RESPECT TO WEB MININGNatural Disasters, Human Errors, and Malicious AttacksNon-Information Related TerrorismInformation Related TerrorismBio-Terrorism, Chemical, and Nuclear AttacksAttacks on Critical InfrastructuresNon-Realtime Threats versus Real-Time ThreatsRevisiting PrivacySummaryE-COMMERCE, BUSINESS INTELLIGENCE, AND COUNTER-TERRORISMModels for Counter-TerrorismArchitectures for Counter-TerrorismFunctions for Counter-TerrorismRevisiting Business IntelligenceSummarySUMMARY AND DIRECTIONSSummary of This BookChallenges and Directions for Web Data MiningChallenges and Directions for Web Data Mining for Counter-TerrorismImpact of the Department of Homeland SecurityWhere Do We Go from Here?	PART 4	APPENDICESDATA MANAGEMENT SYSTEMS: DEVELOPMENTS AND TRENDSDevelopments in Database SystemsStatus, Vision, and IssuesData Management Systems FrameworkBuilding Information Systems from the FrameworkRelationship between the TextsSummaryDATABASE SYSTEMS AND RELATED TECHNOLOGIESRelational and Entity-Relationship Data ModelsArchitectural IssuesDatabase DesignDatabase AdministrationDatabase Management System FunctionsDistributed DatabasesHeterogeneous Database IntegrationFederated DatabasesClient-Server DatabasesMigrating Legacy Databases and ApplicationsData WarehousingObject TechnologySummaryDATA AND INFORMATION SECURITYAccess Control and Other Security ConceptsSecure SystemsSecure Database SystemsEmerging TrendsImpact of the WebSummaryREFERENCES

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