CSVTU BE VIII Semester IT Data Mining & Warehousing Syllabus
CHHATTISGARH SWAMI VIVEKANAND TECHNICAL UNIVERSITY, BHILAI (C.G.)
Semester:VIII Branch: Information Technology.
Subject:Data Mining & Warehousing
Unit-I Overview and Concepts:
Need for data warehousing, Basic elements of data warehousing, Trends in data warehousing. Planning
And Requirements: Project planning and management, Collecting the requirements. Architecture And
Infrastructure: Architectural components, Infrastructure and metadata.
Unit-II Data Design and Data Representation:
Principles of dimensional modeling, Dimensional modeling advanced topics, data extraction, transformation
and loading, data quality.
Unit-III 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
Unit-IV Data Mining Introduction:
Basics of data mining, related concepts, Data mining techniques Data Mining Algorithms: Classification,
Clustering, Association rules. Knowledge Discovery: KDD Process.
Unit-V Web Mining:
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
Prabhu,Data ware housing- concepts, Techniques, Products and Applications, Prentice hall of India
Soman K P, “Insight into Data Mining: Theory & Pratice” , Prentice hall of India
M.H. Dunham, “Data Mining Introductory and Advanced Topics”, Pearson Education.
Paulraj Ponniah, “Data Warehousing Fundamentals”, John Wiley.
Gupta, “Introduction To Datamining with Case Studies”, PHI
Ralph Kimball, “The Data Warehouse Lifecycle toolkit”, Joh