Data science using Oracle Data Miner and Oracle R Enterprise : transform your business systems into an analytical powerhouse /: transform your business systems into an analytical powerhouse. (2016)

• Record Type: Book
• Further Information: Note: Sibanjan Das.
• Authors: Das, Sibanjan
• Contents: IntroductionChapter 1 : Getting Started with Oracle Advanced AnalyticsOverview of Data Science and CRISP-DM MethodologyOverview of machine learning and its application in industriesGetting started with Oracle Advanced Analytics- Oracle Data Miner and Oracle R EnterpriseAnalytical SQL and PL/SQL functionsSummaryChapter 2 : Installation and Hello WorldOracle Data Miner InstallationSample Hello World Oracle Data Miner workflowOracle Data Miner components for SQL Developer GUIOracle R Enterprise InstallationSample Hello World program using Oracle RSummaryChapter 3: Clustering MethodsApproaches for cluster analysisK-means algorithm fundamentalsK-means algorithm in Oracle Advanced AnalyticsMetrics for evaluating clustering algorithmsCreate clusters using Oracle SQL and PLSQL API'sCreate clusters using Oracle R EnterpriseCreate clusters using Oracle SQL Developer GUICase Study - Customer SegmentationSummaryChapter 4: Association RulesIntroduction to association rulesTerminologies associated with association rulesApriori algorithm fundamentalsIdentify interesting rulesAssociation rules using Oracle SQL and PLSQL API'sAssociation rules using Oracle R EnterpriseAssociation rules using Oracle SQL Developer GUICase Study - Market Basket AnalysisSummaryChapter 5: Regression AnalysisUnderstanding RelationshipsIntroduction to Regression AnalysisOLS Regression fundamentalsOLS Regression using Oracle Advanced AnalyticsGLM and Ridge Regression OverviewGLM Regression using Oracle SQL and PLSQL API'sGLM Regression using Oracle R EnterpriseGLM Regression using Oracle SQL Developer GUICase Study - Sales ForecastSummaryChapter 6: Classification TechniquesOverview of classification techniquesLogistics Regression fundamentalsDecision Tree fundamentalsSVM fundamentalsNaïve Bayes fundamentalsClassification using Oracle Advanced AnalyticsClassification using Oracle SQL and PLSQL API'sClassification using Oracle R EnterpriseClassification using Oracle SQL Developer GUICase Study - Customer Churn PredictionSummaryChapter 7: Advanced TopicsOverview of Neural NetworksNeural Network using Oracle Advanced AnalyticsOverview of Anomaly detectionAnomaly detection using Oracle Advanced AnalyticsOverview of Random ForestRandom Forest using Oracle Advanced AnalyticsOverview of Predictive QueriesPredictive Queries using Oracle Advanced AnalyticsOverview of Product Recommendation EngineProduct Recommendation engine using Oracle Advanced AnalyticsSummaryChapter 8: Solution DeploymentOracle Data Miner Import and Export functionalityIntroduction to PMMLGenerating PMML from Oracle Advanced Analytics models.
• Publisher Details: Berkeley, CA : Apress
• Publication Date: 2016
• Copyright Date: 2016
• Extent: 1 online resource (289 pages)
• Subjects: 006.312; Data mining; Computer science; Programming languages (Electronic computers); Database management
• Languages: English
• ISBNs: 9781484226148
• Related ISBNs: 9781484226131
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.