CSVTU B.E. VIII Semester Computer Science Engineering Data Mining and Ware housing Syllabus


Semester: VIII Branch: Computer Science & Engg.

Subject: Data Mining and Ware housing


Overview And Concepts: Need for data warehousing, Basic elements of data warehousing, Trends in

data ware housing. Planning And Requirements: Project planning and management, Collecting the

requirements. Architecture And Infrastructure: Architectural components, Infrastructure and metadata.


Data Design And Data Representation: Principles of dimensional modeling,

Dimensional modeling advanced topics, data extraction, transformation and loading, data quality.


Information Access And Delivery: Matching information to classes of users, OLAP in data warehouse,

Data warehousing and the web. Implementation And Maintenance: Physical design process, data

warehouse deployment, growth and maintenance.

Data Mining:


Introduction: Basics of data mining, related concepts, Data mining techniques Data Mining Algorithms:

Classification, Clustering, Association rules. Knowledge Discovery : KDD Process.


Web Mining: Web Content Mining, Web Structure Mining, Web Usage mining. Advanced Topics:

Spatial mining, Temporal mining. Visualisation : Data generalization and summarization-based

characterization, Analytical characterization: analysis of attribute relevance, Mining class

comparisons: Discriminating between different classes, Mining descriptive statistical measures in

large databasesData Mining Primitives, Languages, and System Architectures: Data mining

primitives, Query language, Designing GUI based on a data mining query language, Architectures of

data mining systems Application and Trends in Data Mining: Applications, Systems products and

research prototypes, Additional themes in data mining, Trends in data mining

Text Books:

1. Prabhu,Data ware housing- concepts, Techniques, Products and Applications, Prentice hall of


2. Soman K P, “Insight into Data Mining: Theory & Pratice” , Prentice hall of India

3. M.H. Dunham, “Data Mining Introductory and Advanced Topics”, Pearson Education.

Name of Reference Books:

1. Paulraj Ponniah, “Data Warehousing Fundamentals”, John Wiley.

2. Gupta, “Introduction To Datamining with Case Studies”, PHI

3. Ralph Kimball, “The Data Warehouse Lifecycle toolkit”, Jo

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