Discussion – Intro to Data Mining
After completing the reading this week answer the following questions:
Chapter 3:
1. Note the basic concepts in data classification.
2. Discuss the general framework for classification.
3. What is a decision tree and decision tree modifier? Note the importance.
4. What is a hyper-parameter?
5. Note the pitfalls of model selection and evaluation.
Text Book
Title: Introduction to Data Mining
ISBN: 9780133128901
Authors: Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar
Publisher: Addison-Wesley
Publication Date: 2013-01-01
Edition: 2nd Edition.
· ch 3 in textbook: Alternative Techniques
· Capri, H. (2016).
Data mining : principles, applications and emerging challenges
. Nova Publishers. Chapter 1.
Assignment – Intro to Data Mining
In essay format answer the following questions:
After reading the chapter by Capri (2015) on manual data collection. Answer the following questions:
1. What were the traditional methods of data collection in the transit system?
2. Why are the traditional methods insufficient in satisfying the requirement of data collection?
3. Give a synopsis of the case study and your thoughts regarding the requirements of the optimization and performance measurement requirements and the impact to expensive and labor-intensive nature.
In an APA7 formatted essay answer all questions above. There should be headings to each of the questions above as well. Ensure there are at least two-peer reviewed sources to support your work. The paper should be at least two pages of content (this does not include the cover page or reference page).
Text Book
Title: Introduction to Data Mining
ISBN: 9780133128901
Authors: Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar
Publisher: Addison-Wesley
Publication Date: 2013-01-01
Edition: 2nd Edition.
· ch 3 in textbook: Alternative Techniques
· Capri, H. (2016).
Data mining : principles, applications and emerging challenges
. Nova Publishers. Chapter 1.
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