Title: Predicting the Usage of Smart Products Using R-language By Building a Classification Model Using Data Mining Techniques
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Title: |
Predicting the Usage of Smart Products Using R-language By Building a Classification Model Using Data Mining Techniques |
Author Name: |
J.UMA MAHESH1, A.PAVANI2,A.HARSHITHA3, P.AKSHITHA REDDY4 |
Abstract: |
: A SMART PRODUCT is one that is able to intermingle with human beings. Smart Products are not only simple products but with a bit of cleverness added to allow the user some flexibility in operation. Smart product adapts to the context of the user and does not force the user to adapt to it. Smart Products have a set of properties that makes them unique are Self Explanatory, Self Organizing, Extensible, Self Sustainable, device capabilities, functionality, integrity, user services, connectivity. The customer’s ranking or priority while buying various smart products are changing day by day because of advancements in technology and customer mainly focus on the advanced features of the smart products they are buying. This paper mainly shows how affectively smart products are used by the customers and are ranked based upon their performance by using R language. By using R we can have a deep analysis over the various smart products and the user can be able to know the most widely purchased smart products according to their ranking. We can have deep analysis of Smart products using data mining classification & prediction techniques such as J48, boosted trees, RandomForest machine learning algorithms in R Language. R allows wide number of Smart products data and analyzes with in limited resources. |
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