data mining 7a

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CourseInformation.docx

Course Information

ITS632 - A06 Intro to Data Mining Fall 2020 First Bi-Term Course Format: Online CRN: 12963  

Course Schedule

Read Tan, Steinbach, & Kumar – 

Chapter 1 – Introduction

Read Tan, Steinbach, & Kumar – 

Chapter 2 – Data, 

Chapter 3 – Exploring Data

Read Tan, Steinbach, & Kumar – 

Chapter 4 – Classification: Basic Concepts, Decision Trees, and Model Evaluation

Read Tan, Steinbach, & Kumar – 

Chapter 5 – Association Analysis: Basic Concepts and Algorithms

Read Tan, Steinbach, & Kumar – 

Chapter 6 – Association Analysis: Advanced Concepts,

Chapter 7 – Cluster Analysis: Basic Concepts and Algorithms

Read Tan, Steinbach, & Kumar – 

Chapter 8 – Cluster Analysis: Additional Issues and Algorithms, 

Chapter 9 – Anomaly Detection

Read Tan, Steinbach, & Kumar – 

Chapter 10 – Avoiding False Discoveries

Practical Connection Project:

Assignment:  Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study.