Data Mining and Data Warehousing detail TNDTE Diploma syllabus for Computer Networking (CN), M scheme is extracted from TNDTE official website and presented for diploma students. The course code (35352), 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. The syllabus PDFs can be downloaded from official website.
For all other comp networking 5th sem syllabus for diploma m scheme tndte you can visit Comp Networking 5th Sem Syllabus for Diploma M Scheme TNDTE Subjects. The detail syllabus for data mining and data warehousing is as follows.
Rationale:
Objectives:
- Understand the meaning of Data Mining and Data Warehousing.
- Explain architecture of Data Mining .
- Know the advantages, disadvantages and limitations of data mining .
- Understand the operations of Data Mining
- Understand Data pre-processing.
- Study about the application and future scope of Data mining.
- Know about different data mining techniques.
- List the data warehouse characteristics.
- Explain challenges and future of the Data Warehousing.
- Difference between Data Warehouse and Data Mining.
- Discuss Data Warehouse Architecture.
- Identify the components of Data Warehouse
- Study about OLP
- Explain Decision Support System.
- Compare TRS, IRS and DSS Characteristics
Unit 1
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Unit 2
Data Mining Techniques And Application Of Data Mining
- Data Mining Techniques:
- Application and Future Scope:
Introduction – Decision Trees – Neural Networks -Nearest -Neighbor and clustering – Genetic Algorithms – Rule Induction -Data Visualization and Overall Perspective
Applications of Data mining – Mining the world wide web – The scope of Data mining – Future scope of data mining
Unit 3
Data Warehouse
- Introduction :
- Multidimensional Data Model :
Definition – Data Warehouse Delivery Method – Difference between OLTP and Data Warehouse Database – Need for separate Data Warehouse – Concept Hierarchy – Data Warehouse Characteristics -Attributes – Examples – Benefits of Data Warehouse – Purpose of Data Warehouse – Specialized Applications of Warehousing Technology – Challenges of the Data Warehouse – Future of the Data Warehouse -Relationship between Data Mining and Data Warehousing – Differentiate between Data Warehouse and Database
Introduction – Data Cube – Star Schema -Difference between fact data and Dimension data – Snowflake schemas -Difference between snowflake and star schemas – Important aspects of star and snowflake schemas – Fact constellation – Features of multidimensional Model.
Unit 4
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Unit 5
Olap And Decision Support System
- Olap :
- Decision Support System :
Introduction – OLAP Server – MOLAP – ROLAP – Managed Query Environment ( MQE) – HOLAP – OLAP Product evaluation Rules / OLAP Guidelines / Features of OLAP – Web-based OLAP – Comparison between OLTP and OLAP.
Introduction – Decision Support and OLAL -Designing DSS – Characteristics of DSSS – DSSS Benefits – Comparisons of TRS, IRS and DSS characteristics – Customer relationship Management
Text Books:
- Data Mining and Data Warehousing Bharat Bhushan Agarwal and Sumit Prakash Tayal University Science Press, New Delhi First Edition 2009
For detail syllabus of all other subjects of BE Comp Networking, M scheme do visit Comp Networking 5th Sem syllabus for M scheme.
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