Closing the KDD Loop to Improve Website Design

Website design is an important criterion for the
success of a website. In order to improve website
design, it is essential to understanding how the
website is used, and it is also helpful for
discovering potential design problems and so for
improving website design.

The KDD process for website design is an approach
which uses the clickstream data for analysing the
browsing behaviour of users and improving the design
of websites. The four steps of KDD process are Data
Collection and Pre-processing, Pattern Discovery and
Analysis, Recommendation, and Action. However, there
are still some gaps in the KDD process and the KDD
loop has not been closed.

In this book, research into the KDD process for
website design improvement and related literatures
will be studied. Then, solutions will be proposed to
deal with these problems. Through applications of the
KDD process for website design improvement, we should
better understand the browsing behaviour of users and
also anticipate improved website design. Three
empirical studies are included to show how the KDD
process can be applied in practice, and how the
design of websites can be improved.

Autorentext

Dr. I-Hsien Ting, who is an Assistant Professor in Department ofInformation Management, National University of Kaohsiung, Taiwan.He has received a Ph.D. from The Dept. of Computer Scienceat The University of York, UK. His research interests are mainlyfocused on Web Intelligence, Web Data Mining, Digital Games andArtificial Intelligence.

Klappentext

Website design is an important criterion for thesuccess of a website. In order to improve websitedesign, it is essential to understanding how thewebsite is used, and it is also helpful for discovering potential design problems and so for improving website design.The KDD process for website design is an approachwhich uses the clickstream data for analysing thebrowsing behaviour of users and improving the designof websites. The four steps of KDD process are DataCollection and Pre-processing, Pattern Discovery andAnalysis, Recommendation, and Action. However, thereare still some gaps in the KDD process and the KDDloop has not been closed.In this book, research into the KDD process forwebsite design improvement and related literatureswill be studied. Then, solutions will be proposed todeal with these problems. Through applications of theKDD process for website design improvement, we shouldbetter understand the browsing behaviour of users andalso anticipate improved website design. Threeempirical studies are included to show how the KDDprocess can be applied in practice, and how thedesign of websites can be improved.