Answer the my 2 questions.

I’m studying and need help with a Computer Science question to help me learn.

1)Sequential pattern mining is a topic of data mining concerned with finding statistically relevant patterns between data examples where the values are delivered in a sequence. Discuss what is sequential data? What is sequential pattern mining? Explain difference between classification and clustering in data mining.

2) Consider the mean of a cluster of objects from a binary transaction data set. What are the minimum and maximum values of the components of the mean? What is the interpretation of components of the cluster mean? Which components most accurately characterize the objects in the cluster?