data mining 7a
ankitar
Course Information
ITS632 - A06 Intro to Data Mining Fall 2020 First Bi-Term Course Format: Online CRN: 12963
Course Schedule
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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.
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