18CS641 Data Mining and Data Warehousing Notes

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

See also  2018 Scheme Computer Science and Engineering VTU CBCS Notes

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

See also  18MAT31 Transform Calculus, Fourier Series, and Numerical Techniques Notes

Click the below link to download the 2018 Scheme VTU CBCS Notes of 18CS641 Data Mining and Data Warehousing (DMDW)

M-1, M-2, M-3, M-4, and M-5

Click the below link to download the 2017 Scheme Data Mining and Data Warehousing (DMDW) VTU

M-1, M-2, M-3, M-4, and M-5

Click the below link to download the 2018 Scheme 6th Semester VTU Question Papers

CSE VTU Question Papers

Summary

Here you can download the 2018 scheme VTU Notes of Data Mining and Data Warehousing (DMDW). If you like the material share it with your friends. Like the Facebook page for regular updates and YouTube channel for video tutorials.