Omifarooq1990
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Complete Data Mining Bundle of Presentations Unit 1 to Unit 5
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
- Package deal
- • 5 items •
- Data Mining Course Unit 1 to Unit 5 Presentation Introduction Types Benefits Applications • Presentation
- Benefits of Data Mining Unit 2 Classification Analysis Decision Tree Illustration • Presentation
- Principle of Data Mining Introduction and Explanation • Presentation
- Use of Clustering and Classification in E Commerce Data Mining • Presentation
- Association Analysis in Data Mining Types, Benefits, Working Principle and Applications with example • Presentation
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
Use of Clustering and Classification in E Commerce Data Mining
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
- Package deal
- Presentation
- • 12 pages •
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
Principle of Data Mining Introduction and Explanation
Mentioned document explains the basic understanding of data mining, requirement, process, types, purpose and different implementation
- Package deal
- Presentation
- • 12 pages •
Mentioned document explains the basic understanding of data mining, requirement, process, types, purpose and different implementation
Benefits of Data Mining Unit 2 Classification Analysis Decision Tree Illustration
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
- Book & Paket-Deal
- Presentation
- • 15 pages •
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
Association Analysis in Data Mining Types, Benefits, Working Principle and Applications with example
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
- Book & Paket-Deal
- Presentation
- • 14 pages •
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
Data Mining Course Unit 1 to Unit 5 Presentation Introduction Types Benefits Applications
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
- Book & Paket-Deal
- Presentation
- • 50 pages •
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