Description
In an essay format answer the following questions:
- What is knowledge discovery in databases (KDD)?
- Review section 1.2 and review the various motivating challenges. Select one and note what it is and why it is a challenge.
- Note how data mining integrates with the components of statistics and AL, ML, and Pattern Recognition.
- Note the difference between predictive and descriptive tasks and the importance of each.
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).
Main teatbook
Tan, P.-N., Steinbach, M., Karpatne, A., & Kumar, V. (2019). Introduction to data mining.
Explanation & Answer
Attached. Please let me know if you have any questions or need revisions.
1
Running Head: INTRODUCTION TO DATA MINING
Introduction to data mining
Student’s Name
Institution Affiliation
Due Date
2
INTRODUCTION TO DATA MINING
(H) Introduction to Data Mining
Knowledge Discovery in Database
With the constant change in times and technology, companies have been forced to start
analyzing the data. They have to acquire new knowledge and make informed decisions, and this
is done through knowledge discovery in the database. Companies have understood that data
mining is the future, and they require it hence the significant move towards knowledge discovery
in databases. Knowledge discovery in databases is the identification of useful knowledge in data.
It involves the evaluation of patterns to decide what is considered knowledge. ...