UTD CS 6V81 - Lecture #3 Information Management and Data Mining

Unformatted text preview:

Introduction to BiometricsObjective of the UnitOutline of the UnitRevisiting the DM/IM/KM FrameworkWhat is Information Management?Data WarehouseData MiningMultimedia Information ManagementSemantic WebSemantic Web TechnologiesSecure Data Sharing Across CoalitionsSome Emerging Information Management TechnologiesInformation Management for Applications: ExamplesOutline of Data MiningSlide 15Steps to Data MiningNeed for Data MiningExample ApplicationsIntegration of Multiple TechnologiesWhy Data Mining Now?Preparation for Data MiningSome Types of Data Mining (Data Mining Tasks)Data Mining Methodology (or Approach)Some Data Mining TechniquesCommercial Developments in Data Mining: Some ProductsCurrent Status, Challenges and DirectionsExample Data Mining Technique: What is Market Basket Analysis?ExampleExample (Concluded)Basic ProcessAssociation RulesChallenges and DirectionsIntroduction to BiometricsDr. Bhavani ThuraisinghamThe University of Texas at DallasLecture #3Information Management and Data MiningAugust 29, 2005Objective of the UnitThis unit gives an overview of various information management technologies. In addition some details of data mining will also be given.Outline of the UnitWhat is Information Management?Some Information Management TechnologiesInformation management ApplicationsData MiningRevisiting the DM/IM/KM FrameworkInformationManagementDatabaseSystems InformationRetrieval Data WarehouseSecurityDistributed andHeterogeneousDatabase SecurityObject DatabaseSecurityPrivacy Secure KnowledgeDigitalForensicsWebSensorDatabaseSecurityRelationalDatabaseSecurityInferenceProblemSecureInformationManagementTechnologiesData MiningAnd SecurityDatabaseSecurityDependableInformationManagementKnowledgeManagement Information andComputerSecurityBiometricsSecure DigitalLibrariesInformationManagement DatabaseSystems InformationRetrieval Data WarehouseSecurity Distributed/Federated DataSecurity Object/MultimediaSecurity PrivacySecure KnowledgeDigitalForensicsWebSensorDatabaseSecurityRelationalDatabaseSecurityInferenceProblemSecureInformationManagementTechnologiesData MiningAnd SecurityDatabaseSecurity DependableInformationManagementKnowledgeManagement Information andComputerSecurity BiometricsSecure SemanticWeb InformationManagementDatabaseSystems InformationRetrieval Data WarehouseSecurityDistributed andHeterogeneousDatabase SecurityObject DatabaseSecurityPrivacy Secure KnowledgeDigitalForensicsWebSensorDatabaseSecurityRelationalDatabaseSecurityInferenceProblemSecureInformationManagementTechnologiesData MiningAnd SecurityDatabaseSecurityDependableInformationManagementKnowledgeManagement Information andComputerSecurityBiometricsSecure DigitalLibrariesInformationManagement DatabaseSystems InformationRetrieval Data WarehouseSecurity Distributed/Federated DataSecurity Object/MultimediaSecurity PrivacySecure KnowledgeDigitalForensicsWebSensorDatabaseSecurityRelationalDatabaseSecurityInferenceProblemSecureInformationManagementTechnologiesData MiningAnd SecurityDatabaseSecurity DependableInformationManagementKnowledgeManagement Information andComputerSecurity BiometricsSecure SemanticWeb InformationManagementDatabaseSystems InformationRetrieval Data WarehouseSecurityDistributed andHeterogeneousDatabase SecurityObject DatabaseSecurityPrivacy Secure KnowledgeDigitalForensicsWebSensorDatabaseSecurityRelationalDatabaseSecurityInferenceProblemSecureInformationManagementTechnologiesData MiningAnd SecurityDatabaseSecurityDependableInformationManagementKnowledgeManagement Information andComputerSecurityBiometricsSecure DigitalLibrariesData ManagementTechnologiesHeterogeneous DatabaseManagement Relational DatabaseSystems SecureDatabase SystemsData Warehouse SystemsPeer-to-PeerInformation ManagementMultimedia InformationSystemKnowledgePortalsKnowledge Creationand AcquisitionKnowledgeMiningWebSensorInformationManagementData MiningSemanticWebExpert systems andReasoning under uncertaintyKnowledgeSharingInformationManagementKnowledgeManipulationDistributedDatabasesObject DatabaseKnowledgeModelsKnowledgeRepresentationKnowledge ManagementTechnologiesInformation ManagementTechnologiesEach layer builds on the technologies of the lower layersWhat is Information Management?Information management essentially analyzes the data and makes sense out of the dataSeveral technologies have to work together for effective information management-Data Warehousing: Extracting relevant data and putting this data into a repository for analysis-Data Mining: Extracting information from the data previously unknown-Multimedia: managing different media including text, images, video and audio-Web: managing the databases and libraries on the webData WarehouseOracleDBMS forEmployeesSybaseDBMS forProjectsInformixDBMS forMedicalData Warehouse:Data correlatingEmployees WithMedical Benefitsand ProjectsCould beany DBMS; Usually based on the relational data modelUsersQuerythe WarehouseData MiningData MiningKnowledge MiningKnowledge Discoveryin DatabasesData ArchaeologyData DredgingDatabase MiningKnowledge ExtractionData Pattern ProcessingInformation HarvestingSiftwareThe process of discovering meaningful new correlations, patterns, and trends by sifting through large amounts of data, often previously unknown, using pattern recognition technologies and statistical and mathematical techniques(Thuraisingham 1998)Multimedia Information ManagementVideoSourceScene ChangeDetectionSpeakerChangeDetectionSilenceDetectionCommercialDetectionKey FrameSelectionStorySegmentationNamedEntityTaggingBroadcast News Editor (BNE)Broadcast NewsNavigator (BNN)Video andMetadataMultimediaDatabaseManagementSystemWeb-based Search/Browse by Program, Person, Location, ...ImageryAudioClosedCaptionTextSegregate VideoStreamsAnalyze and Store Video and MetadataStoryGIST ThemeFrameClassifierClosedCaptionPreprocessCorrelationToken DetectionBroadcastDetectionSemantic Web0 Some Challenges: Security and Privacy cut across all layers; Integration of Services; ComposabilityXML, XML SchemasRules/QueryLogic, Proof and TrustTRUSTOtherServicesRDF, OntologiesURI, UNICODEPRIVACY0Adapted from Tim Berners Lee’s description of the Semantic WebSemantic Web TechnologiesWeb Database/Information Management-Information retrieval and Digital LibrariesXML, RDF and Ontologies-Representation informationInformation Interoperability-Integrating heterogeneous data and information sourcesIntelligent agents-Agents for locating resources, managing resources,


View Full Document

UTD CS 6V81 - Lecture #3 Information Management and Data Mining

Documents in this Course
Botnets

Botnets

33 pages

Privacy

Privacy

27 pages

Privacy

Privacy

27 pages

Load more
Download Lecture #3 Information Management and Data Mining
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view Lecture #3 Information Management and Data Mining and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Lecture #3 Information Management and Data Mining 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?