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Answer:

It is very useful to identify emerging patterns when looking for trends.  Emerging patterns help to discover inherent differences in a dataset.  They are powerful for constructing accurate and complete classifications of the dataset.

Explanation:

Emerging patterns present themselves as items with frequency changes that are significantly different from one dataset to another.  Trends show the general directions of some variables.  One discovers emerging patterns by looking at two datasets for two time periods.  The trend will show if the pattern has increased or decreased in size, totally disappeared, or new patterns have currently emerged when compared to previous patterns.

There are different kinds of trends. Emerging patterns are useful as they;

  • They act as a means of knowing or finding out the distinctions present amidst a collection of data group.
  • They are  powerful tool for constructing right classifiers.

What are Emerging Patterns?

Theses are known as the patterns of the groups of items whose frequency changes very well from one dataset to another.

They are known to be very vital in getting the multi-dimensional differences between datasets/ or classes.

Learn more about  Emerging patterns from

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