Data Mining (COM 515)
University Of Colorado Boulder
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Complete Data Mining Bundle of Presentations Unit 1 to Unit 5
- Package deal • 5 items • 2021
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- $27.49
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This bundle contains all required presentation, course work and summary of course data mining with relevant types, techniques, applications, examples, usage and explanation for completing all relevant tasks related to Data Mining Course. Clustering, Association Analysis, Classification, Market Basket Analysis, Decision Tree and Recommendation
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Association Analysis in Data Mining Types, Benefits, Working Principle and Applications with example
- Presentation • 14 pages • 2021
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- $13.49
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Mentioned document explains in detail association analysis , its types, benefits, working principle and applications with real world examples. Also Market Basket Analysis and Recommendation system in data mining is covered
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Use of Clustering and Classification in E Commerce Data Mining
- Presentation • 12 pages • 2021
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- $13.49
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Mentioned document contains detailed explanation and points on clustering algorithm technique, its types, practical real world applications, classification analysis and differences between clustering and classification
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Principle of Data Mining Introduction and Explanation
- Presentation • 12 pages • 2021
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- $10.49
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Mentioned document explains the basic understanding of data mining, requirement, process, types, purpose and different implementation
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Benefits of Data Mining Unit 2 Classification Analysis Decision Tree Illustration
- Presentation • 15 pages • 2021
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- $13.49
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Mentioned presentation contains detailed summary and points related to benefits of data mining, detailed explanation of each benefit, classification analysis techniques and its benefits along with decision tree illustration
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Data Mining Course Unit 1 to Unit 5 Presentation Introduction Types Benefits Applications
- Presentation • 50 pages • 2021
- Available in package deal
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- $19.49
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These set of presentation contains all necessary summaries and details of data mining, its requirement, types, benefits, applications, techniques, benefits of different techniques, relevant practical real world examples, clustering, association analysis, decision trees, classification analysis and relevant reference books to understand the course 60 well written easy to understand slides
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