Data Mining and Data Warehousing detail syllabus for Computer Science & Engineering (CSE), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17CS651), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.
For all other cse 6th sem syllabus for be 2017 scheme vtu you can visit CSE 6th Sem syllabus for BE 2017 Scheme VTU Subjects. For all other Professional Elective-2 subjects do refer to Professional Elective-2. The detail syllabus for data mining and data warehousing is as follows.
Module 1
Data Warehousing&modeling: Basic Concepts: Data Warehousing: A multitier Architecture, Data warehouse models: Enterprise warehouse, Data mart and virtual warehouse, Extraction, Transformation and loading, Data Cube: A multidimensional data model, Stars, Snowflakes and Fact constellations: Schemas for multidimensional Data models, Dimensions: The role of concept Hierarchies, Measures: Their Categorization and computation, Typical OLAP Operations.
Module 2
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Module 3
Association Analysis: Association Analysis: Problem Definition, Frequent Item set Generation, Rule generation. Alternative Methods for Generating Frequent Item sets, FP-Growth Algorithm, Evaluation of Association Patterns.
Module 4
Classification :Decision Trees Induction, Method for Comparing Classifiers, Rule Based Classifiers, Nearest Neighbor Classifiers, Bayesian Classifiers.
Module 5
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Course Outcomes:
The students should be able to:
- Understands data mining problems and implement the data warehouse Demonstrate the association rules for a given data pattern. Discuss between classification and clustering solution.
Question paper pattern:
- The question paper will have TEN questions.
- There will be TWO questions from each module.
- Each question will have questions covering all the topics under a module.
- The students will have to answer FIVE full questions, selecting ONE full question from each module.
Text Books:
- Pang-Ning Tan, Michael Steinbach, Vipin Kumar: Introduction to Data Mining, Pearson, First impression, 2014.
- Jiawei Han, MichelineKamber, Jian Pei: Data Mining -Concepts and Techniques, 3rd Edition, Morgan Kaufmann Publisher, 2012.
Reference Books:
- Sam Anahory, Dennis Murray: Data Warehousing in the Real World, Pearson, Tenth Impression, 2012.
- Michael.J.Berry, Gordon.S.Linoff: Mastering Data Mining, Wiley Edition, second edtion, 2012.
For detail syllabus of all other subjects of BE Cse, 2017 regulation do visit Cse 6th Sem syllabus for 2017 Regulation.
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