Paul Punnian, “Data Warehousing Fundamentals”, John Wiley Pub
Han, Kamber, "Data Mining Concepts and Techniques", Morgan Kaufmann .
Alex Berson, S.J. Smith, “Data Warehousing, Data Mining and OLAP”, Tata McGraw Hill
Margaret Dunham, “Data Mining: Concepts and Techniques”, Morgan Kaufmann Pub.
Ralph Kimball, "The Data Warehouse Lifecycle toolkit', John Wiley.
Jiawei Han, Micheline Kamber, “Data Mining : Concepts and Techniques”, 2nd edition, Morgan Kaufmann, ISBN 1558609016, 2006.
A B M Shaukat Ali, Saleh A Wasimi, “Data Mining: Methods and Techniques”, Cengage Learning Pub.
Ian Witten and Eibe Frank, Data Mining, “Practical Machine Learning Tools and Techniques with Java Implementations”, Morgan Kaufman, ISBN 1558605525, 1999,
Term Work: The term work shall consist of at least 10 experiments/ assignments based on the syllabus above. Assessment of term work should be done which will consider the points below and the marks should be awarded accordingly.
Continuous lab assessment
Actually performing practicals in the laboratory during the semester
Practical Examination: The Practical Examination shall consist of writing and performing an experiment / assignment and oral based on the syllabus as per the journal record. Duration of examination is three hours.
Suggestive List of experiments:
Evolution of data management technologies, introduction to data warehousing concepts
Develop an application to implement defining subject areas, design of fact and dimension
tables, data marts.
Develop an application to implement OLAP, roll-up, drill-down, slice, and dice operations.
Develop an application to construct a multidimensional data
Develop an application to implement data generalization and summarization techniques
Develop an application to extract association mining rules.
Develop an application for classification of data.
Develop an application for implementing one of the clustering technique
Develop an application for implementing Naïve Bayes classifier
Develop an application for Decision tree classifier
Title of the Subject: Microsoft Technologies Laboratory –II (ASP.NET) Course Code: MCA 210
Teaching Scheme: Practical: 4 Hrs/ week
To Study website development using GUI environment.
To develop programming skills with ASP.NET
Examination Scheme: Practical Exam: 50 Marks Term Work: 50 Marks
Unit 1: Introduction Internet terminology, Web Server, Browser, Client Vs Server Side Scripting Introduction to Java Script (Client Side Script) – Variables, Document Object Model, Functions, Event Handling.