A Review of Data Warehousing Using Feature Engineering
This paper is presenting feature engineering concept to predict the behavior of customer, which includes the different stage of process to create feature and after creating the feature in any domain machine learning algorithm can be applied.
Abstract
Today is an era of online shopping and most of the persons are willing to buy things via internet. The reason behind this they can get lots of options in a single click, there is no need to waste time to waiting up in the queue as well. It is becoming more common in our daily lives. There are lots of algorithms which understand the user's interests and behavior regarding this. In this paper we are presenting feature engineering concept to predict the behavior of customer. Feature engineering allows us to create feature by our self which can be applied on any area. It includes the different stage of process to create feature and after creating the feature in any domain machine learning algorithm can be applied. Data warehousing is also essential to predict any behavior on event and by selecting any event it is easy to take the decision on any event and these predictions can be based on any day or week or months which are also very helpful from industry point of view.