Web Analytics Understanding user behavior and ... - pace university

Conclusion:
In this thesis it has been proved that machine learning can be used to understand the human
behavior on the websites. As much as machine learning has been used to create automated
industrial systems, this also proves that we can use AI successfully on server log files to extract
patterns and create applications improving various performance parameters. The goal to
understand server log files, user behavior on the website, keywords used, and their relevance to the
site have been effectively addressed. The scope for further research is immense in data mining and
AI. As a result new insights can be gained into specific user needs for information based on
various parameters. AI is the holy grail of computer science. The ROI will be justified if the server
log files are understood better to understand human beings and their online behavior.
The ability to understand the minds of people has been a challenge for all of us. This has been
proved in our day to day life, global situations and terrorist attacks. Any rationale behind an action
is justifiable by only the subject who has the prior knowledge of his/her actions. Understanding the
patterns, signatures left behind, movements, can help us in creating solutions to new world
problems, addressing the current problems and preventing future issues. Technology is our best
friend, but the success of technology vastly depends on how close the system will think like
humans. In many cases the learning agents are doing better job than human beings like “fly by
wire” for Airbus / Boeing jets, BP GASOIL system.
However the case of understanding online behavior is more important today because we are
seeking value for the investments made by us and expecting returns. Any small step towards such
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