Q1. Based on the Preface, what are the topics covered by this textbook.
Q2. Briefly summarize the history of data mining.
Q3. Discuss different data mining tasks and the representative algorithms for each task.
Q4. Discuss different types of data mining.
Q5. Use the concept of "hype cycle" to explain which stage the field of data mining is at.
Q6. What data mining is?
Q7. What data mining is not?
Q8. Who should learn data mining?
Q9. Why data mining gains increasing popularity in the past few decades? (p6~p7)
Q10. What is the data mining process framework used in this textbook?
Q11. Discuss the tasks and the relevant concepts in every step of the data mining process.
Q12. List the most commonly used data mining tools.