نتایج جستجو برای: classifying customers using data mining algorithms
تعداد نتایج: 5084649 فیلتر نتایج به سال:
Organizations always take part in competition and as the competition grows; they are more concern about their customers rather than products. Organization always focuses on customer’s behaviour to retain in market competition. Churn prediction models are developed to manage and control customer churn in order to retain existing customers. Churn prediction aims to predict profitable customers. T...
The up-to-date tracking tools, such as RFID (Radio Frequency Identification), Wi-Fi sensing brought a tremendous breakthrough in business analytics. These current trends can be used to record the paths taken by shoppers in a supermarket which form a trajectory data. By mining these trajectories it is possible to uncover shopper’s behavior including how they move among shelves of different produ...
This paper is a brief introduction to the concepts, methods and algorithms for data mining in statistical software R using a package named Rattle. Rattle provides a good graphical environment to perform some of the procedures and algorithms without the need for programming. Some parts of the package will be explained by a number of examples. ...
With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. As the speed of ...
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