DocumentCode :
3669340
Title :
VizClick visualizing clickstream data
Author :
Rajat Kateja;Amerineni Rohith;Piyush Kumar;Ritwik Sinha
Author_Institution :
Indian Institute of Technology Guwahati, India
fYear :
2014
Firstpage :
247
Lastpage :
255
Abstract :
Clickstream data is ubiquitous in today´s web-connected world. Such data displays the salient features of big data, that is, volume, velocity and variety. As with any big data, visualizations can play a central role in making sense and generating hypotheses from such data. In this paper, we present a systematic approach of visualizing clickstream data. There are three basic questions we aim to address. First, we explore the inter-dependence between the large number of dimensions that are measured in clickstream data. Next, we analyze spatial aspects of data collected in web-analytics. Finally, the web designers might be interested in getting a deeper understanding of the website´s topography and how browsers are interacting with it. Our approach is designed for business analysts, web designers and marketers; and helps them draw actionable insights in the management and refinement of large websites.
Keywords :
"Data visualization","Entropy","Surfaces","Big data","Browsers","Correlation","Nickel"
Publisher :
ieee
Conference_Titel :
Information Visualization Theory and Applications (IVAPP), 2014 International Conference on
Type :
conf
Filename :
7294428
Link To Document :
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