CS614 GDB Solution 2022

This is CS614 GDB Solution 2022. The Topic of GDB is "Data Mining Technique". The last date of GDB is 1 March 2022.

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How to Submit CS614 GDB Solution 2022

Scenerio:

Suppose ABC grocery store is maintaining their customer’s data such as name, contact information, purchase history and others. The management of the store has planned to prepare and introduce its own ready-to-eat (fries, nuggets, kabab) products in their store. Now grocery store wants to send out the regular promotional offers on newly introduced products. For this purpose, they asked you to prepare predictive analysis report of the products to check the target audience for regular promotional offers.

Requirement:

Consider three data mining techniques: Clustering, Classification, Prediction. Which one of the above listed data mining technique will be most suitable for the given scenario? Justify your answer with strong arguments (write to the point and avoid lengthy answers)?

Answer:

After reading the above scenario, Prediction is the suitable listed data mining technique. I have strong arguments that are as follows:

Prediction tells that in which class this specific item would lie in future.
Prediction can be well understood and want to know about their customers their propensity to buy/spend/purchase.
Prediction is a powerful aspect of data mining that represents predictive analytics (use patterns to found current of historical data).