Predicting the Customer Behavior Through Web Page and Content Mining Techniques

Author(s):  
VM Sundharam ◽  
M.S. Sriramm ◽  
Priya Pachhaiammal
Author(s):  
Preeti Sharma ◽  
SANJAY KUMAR

Customer satisfaction is the key secret of success for all industries regardless of whether it is web enabled or not. This paper focuses the role of web mining in achieving a viable edge in business. Web mining is becoming the tool for success for those who adopt electronic means of operation for conducting their business. Web mining is the application of data mining techniques to discover patterns from the Web through content mining, structure mining, and usage mining. Web mining can contribute to a large extent in gaining a competitive advantage in business. Business goals should be well understood.


2005 ◽  
Author(s):  
Aaron W. Bangor ◽  
James T. Miller
Keyword(s):  

2020 ◽  
Vol 140 (12) ◽  
pp. 1393-1401
Author(s):  
Hiroki Chinen ◽  
Hidehiro Ohki ◽  
Keiji Gyohten ◽  
Toshiya Takami

Author(s):  
Gursimran Singh ◽  
Harpreet Kaur

With the growth of website content it is become difficult to manage relations between Individual webpage and keep track of their hyperlinks within a website. This causes some Hyperlink become dead or broken. A broken Link  is a  link on a web page that no longer works. It is difficult to find out the broken link manually by checking each hyperlink individually because it is time consuming and tedious work. So to eliminate this we can use the selenium web driver tool and java code to automate testing of each hyperlink individually. The objective of this thesis is to automate finding of broken links using selenium web driver tool.


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