Clickstream Data Analysis Using Data Mining in R
Abstract: Clickstream analysis is to understand how user moves through website and in what order. It helps to extract data-driven user personalities, predict their actions, and extract frequent sequential patterns using clickstream data. Many social networking platforms rely on the data generated based on user's click path. To start analyzing clickstream data, we first need to be able to capture step-by-step a user's activity on a web page or application. And that is of great value in the hands of any internet marketer. Getting a 360-degree view of a customer by knowing what they are and are not clicking can bring you a huge improvement in both your products and your customers' experience.
Keywords: Clickstream analysis, Markov chain, Clustering, cSPADE, Frequent Sequential Pattern
How to Cite?: Anubhuti Singh, Sandhya Tarar, "Clickstream Data Analysis Using Data Mining in R", Volume 8 Issue 4, April 2019, International Journal of Science and Research (IJSR), Pages: 470-475, https://www.ijsr.net/getabstract.php?paperid=MOB1624, DOI: https://dx.doi.org/10.21275/MOB1624