Simon Fraser University
Engaging the World

Course Outlines

Fall 2024 - CMPT 741 G100

Data Mining (3)

Class Number: 6397

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 4 – Dec 3, 2024: Thu, 4:30–7:20 p.m.
    Burnaby

Description

CALENDAR DESCRIPTION:

The student will learn basic concepts and techniques of data mining. Unlike data management required in traditional database applications, data analysis aims to extract useful patterns, trends and knowledge from raw data for decision support. Such information are implicit in the data and must be mined to be useful.

COURSE DETAILS:

Topics:

Data mining

  • Introduction 
  • Classification (supervised learning) 
  • Clustering (unsupervised learning) 
  • Association Rule Mining 

Big Data

  • Recommendation Systems 
  • Find Similar Sets 
  • Link Analysis 
  • Data Privacy and Security 
  • Applications 

Grading

NOTES:

Grading:

  • In-class quiz - 15%
  • Two assignments - 20%
  • Midterm – 25%
  • Final exam - 40%

Materials

MATERIALS + SUPPLIES:

Reference Textbook:

Data Mining: Concepts and Techniques
Jiawei Han, Micheline Kamber, Jian Pei
 

REQUIRED READING:

Introduction to Data Mining

  • Pang Ning Tan, Michael Steinbach, Vipin Kumar
  • Addison Wesley
  • 2018
  • 2nd Edition

ISBN: 9780133128901

Mining of Massive Data Sets

  • Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman
  • 2nd Edition

ISBN: 9781107077232

REQUIRED READING NOTES:

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

Graduate Studies Notes:

Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html

RELIGIOUS ACCOMMODATION

Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.