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书名: RapidMiner
作者: Ralf Klinkenberg
出版时间: 2013-01-01
ISBN: 9781482205497(P-ISBN) ,9781482205503(E-ISBN)
摘要:
摘要:
书目详情:
Front MatterPart 1. Introduction to Data Mining and RapidMinerChapter 1. What This Book is About and What It is NotChapter 2. Getting Used to RapidMinerPart 2. Basic Classification Use Cases for Credit Approval and in EducationChapter 3. k-Nearest Neighbor Classification IChapter 4. k-Nearest Neighbor Classification IIChapter 5. Naive Bayes Classification IChapter 6. Naive Bayes Classificaton IIPart 3. Marketing, Cross-Selling and Recommender System Use CasesChapter 7. Who Wants My Product? Anity-Based MarketingChapter 8. Basic Association Rule Mining in RapidMinerChapter 9. Constructing Recommender Systems in RapidMinerChapter 10. Recommender System for Selection of the Right Study Program for Higher Education StudentsPart 4. Clustering in Medical and Educational DomainsChapter 11. Visualising Clustering Validity MeasuresChapter 12. Grouping Higher Education Students with RapidMinerPart 5. 'Text MiningChapter 13. Detecting Text Message SpamChapter 14. Robust Language Identification with RapidMinerChapter 15. Text Mining with RapidMinerPart 6. Feature Selection and Classification in Astroparticle Physics and in Medical DomainsChapter 16. Application of RapidMiner in Neutrino AstronomyChapter 17. Medical Data MiningPart 7. Molecular Structure- and Property-Activity Relationship Modeling in Biochemistry and MedicineChapter 18. Using PaDEL to Calculate Molecular Properties and Chemoinformatic ModelsChapter 19. ChemoinformaticsPart 8. 'Image MiningChapter 20. Image Mining Extension for RapidMiner (Introductory)Chapter 21. Image Mining Extension for RapidMiner (Advanced)Part 9. Anomaly Detection, Instance Selection and Prototype ConstructionChapter 22. Instance Selection in RapidMinerChapter 23. Anomaly DetectionPart 10. Meta-Learning, Automated Learner Selection, Feature Selection and Parameter OptimizationChapter 24. Using RapidMiner for ResearchSubject IndexOperator IndexColor Insert
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