National University of Sciences and Technology
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SE-834 Data Mining
Campus SEECS
Programs PG
Session Summer Semester 2016
Course Title Data Mining
Course Code SE-834
Credit Hours 3-0
Pre-Requisutes Databases and Data-warehousing
Course Objectives After completing this course the student should:
  • By the end of this course student will have good knowledge of the various techniques that form the field of Data Mining.
  • Understand the basic principles of the science of Data Mining and what techniques are useful in various application areas.
  • Be familiar with the tools that are available for Data Mining.
  • Be able to solve a given problem using a technique from the domain of Data Mining.
  • Be familiar with the various concepts in the domain of Data-warehousing and OLAP Technology.
Detail Content
  • Types of Data Mining Systems
  • Data preprocessing
  • Data warehouses and their relation to OLAP
  • Data Cube computation and generalization
  • Frequent patterns mining and determining associations and correlations
  • Data classification and prediction
  • Clustering and cluster analysis
Text/Ref Books
  • Data Mining: Concepts and Techniques (2nd Edition) by Jiawei Han and Micheline Kamber.
  • Principles of Data Mining by Hand, Mannila and Smyth.
Elements of Statistical Learning by Hastie, Tibshirani and Friedman
Time Schedule Summer Semester
Faculty/Resource Person Dr. Hammad A. Qureshi (PhD),
Instructor’s Designation: Assistant Professor