18CS641 Data Mining and Data Warehousing (DMDW) VTU CBCS Notes
Here you can download the VTU CBCS 2018 Scheme notes, and Study materials of Data Mining and Data Warehousing (DMDW) of the Computer Science and Engineering department.
University Name: Visvesvaraya Technological University (VTU), Belagavi
Branch Name: Computer Science and Engineering – CSE
Semester: 6 (3rd Year)
Subject Code and Subject Name: 18CS641 Data Mining and Data Warehousing (DMDW)
Scheme of Examination: 2018 Scheme
Marks Distribution: 40 Marks for Continuous Internal Assessment and 60 Marks for Semester end examination
Important Concepts discussed:
Module 1
1.1 Introduction, 1.2. Data Warehousing: A multitier Architecture, 1.3. Data warehouse models: Enterprise warehouse, Datamart, and virtual warehouse
1.4. Extraction, Transformation, and loading, 1.5. Data Cube: A multidimensional data model, Stars, Snowflakes
1.6. Fact constellations: Schemas for multidimensional Data models, 1.7. Dimensions: The role of concept Hierarchies
1.8. Measures: Their Categorization and computation, 1.9. Typical OLAP Operations, 1.10. Outcome, 1.11. Important Questions
Module 2
2.1 Introduction, 2.2 Efficient Data Cube computation: An overview, 2.3 Indexing OLAP Data: Bitmap index and join index
2.4 Efficient processing of OLAP Queries, 2.5 OLAP server Architecture ROLAP versus MOLAP Versus HOLAP
2.6 Introduction: What is a data mining, 2.7 Challenges, Data Mining Tasks 2.8 Data: Types of Data,
2.9 Data Quality, 2.10 Data Preprocessing, 2.11 Measures of Similarity and Dissimilarity, 2.12 Outcome, 2.13 Important Questions
Module 3
3.1 Introduction, 3.2 Association Analysis: Problem Definition, 3.3 Frequent Itemset Generation,
3.4 Rule generation. Alternative Methods for Generating Frequent Itemsets, 3.5 FP-Growth Algorithm,
3.6 Evaluation of Association Patterns, 3.7 Outcome, and 3.8 Important Question
Module 4
4.1 Introduction, 4.2 Decision Trees Induction, 4.3 Method for Comparing Classifiers, 4.4 Rule-Based Classifiers,
4.5 Nearest Neighbor Classifiers, 4.6 Bayesian Classifiers, and 4.7 Important Question
Module 5
5.1 Introduction, 5.2 K-Means, 5.3 Agglomerative Hierarchical, 5.4 Clustering, 5.5 DBSCAN, 5.6 Cluster Evaluation,
5.7Density-Based Clustering, 5.8 Graph-Based Clustering, 5.9 Scalable Clustering Algorithms, 5.11 Important Question
Click the below link to download the 2018 Scheme VTU CBCS Notes of 18CS641 Data Mining and Data Warehousing (DMDW)
Click the below link to download the 2017 Scheme Data Mining and Data Warehousing (DMDW) VTU
Click the below link to download the 2018 Scheme 6th Semester VTU Question Papers
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