Question: 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

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?

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1 Sequential data is basically a row of item sets where every item set doesnt include multiple similar items Sakurai 2015 Every item in the similar it... View full answer

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