International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 170

Research Paper | Computer Science & Engineering | India | Volume 8 Issue 4, April 2019


Clickstream Data Analysis Using Data Mining in R

Anubhuti Singh [2] | Sandhya Tarar


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


Edition: Volume 8 Issue 4, April 2019,


Pages: 470 - 475

Clickstream Data Analysis Using Data Mining in R


How to Cite this Article?

Anubhuti Singh, Sandhya Tarar, "Clickstream Data Analysis Using Data Mining in R", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=MOB1624, Volume 8 Issue 4, April 2019, 470 - 475, #ijsrnet

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