CHHATTISGARH SWAMI VIVEKANAND TECHNICAL UNIVERSITY, BHILAI (C.G.)
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.
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
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