Guru Gobind Singh Indraprastha University, Kashmere Gate, Delhi-110006

SCHEME/SYLLABUS : MCA(SE)
(Fourth Semester)

Code No: IT 718
Paper : Data Warehousing and Data Mining

Data Warehousing: Definition, Scope, Practical Implications, Structures and functions.

Data Mining: Process, Technologies & Rules, platform tools & tool characteristics, operational vs. information systems.

Types of Data Warehouses: Host based, single stage, LAN based, Multistage, stationary distributed & virtual data-warehouses.

Data warehouses architecture: Metadata, operational data & operational data bases. Data warehouse architecture model, 2-tier, 3-tier & 4-tier data warehouses.

OLAP & DSS support in data warehouses.

Data Mining: Knowledge discovery through statistical techniques, Knowledge discovery through neural networks, Fuzzy tech. & genetic algorithms.

Text:

    1. “Building the Data Warehouse”, W.H.Inmon, John Wiley & Sons.
    2. “Developing the Data Warehouse”, W.H.Inmon, C.Kelly, John Wiley & Sons.

Reference:

    1. 1. “Managing the Data Warehouse”, W.H.Inmon, C.L.Gassey, John Wiley & Sons.
    2. 2. “Advances in knowledge discovery & Data Mining”, Fayyad, Usama M. et. al.,MIT Press.
 

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