1.Define data stream mining. What additional challenges are posed by data stream mining?

2.What are the challenges facing data warehousing and Big Data? Are we witnessing the end of the data warehousing era? Why or why not?

3.What is stream analytics? How does it differ from regular analytics?

4.. Identify at least five specific applications of data mining and list five common characteristics of these applications.

5.List and briefly discuss some of the text mining applications in marketing.

6.How can a decision tree be used in decision making?