TY - GEN
T1 - Web user session clustering using modified K-means algorithm
AU - Poornalatha, G.
AU - Raghavendra, Prakash S.
PY - 2011
Y1 - 2011
N2 - The proliferation of internet along with the attractiveness of the web in recent years has made web mining as the research area of great magnitude. Web mining essentially has many advantages which makes this technology attractive to researchers. The analysis of web user's navigational pattern within a web site can provide useful information for applications like, server performance enhancements, restructuring a web site, direct marketing in e-commerce etc. The navigation paths may be explored based on some similarity criteria, in order to get the useful inference about the usage of web. The objective of this paper is to propose an effective clustering technique to group users' sessions by modifying K-means algorithm and suggest a method to compute the distance between sessions based on similarity of their web access path, which takes care of the issue of the user sessions that are of variable length.
AB - The proliferation of internet along with the attractiveness of the web in recent years has made web mining as the research area of great magnitude. Web mining essentially has many advantages which makes this technology attractive to researchers. The analysis of web user's navigational pattern within a web site can provide useful information for applications like, server performance enhancements, restructuring a web site, direct marketing in e-commerce etc. The navigation paths may be explored based on some similarity criteria, in order to get the useful inference about the usage of web. The objective of this paper is to propose an effective clustering technique to group users' sessions by modifying K-means algorithm and suggest a method to compute the distance between sessions based on similarity of their web access path, which takes care of the issue of the user sessions that are of variable length.
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U2 - 10.1007/978-3-642-22714-1_26
DO - 10.1007/978-3-642-22714-1_26
M3 - Conference contribution
AN - SCOPUS:80051559106
SN - 9783642227134
VL - 191 CCIS
T3 - Communications in Computer and Information Science
SP - 243
EP - 252
BT - Advances in Computing and Communications - First International Conference, ACC 2011, Proceedings
T2 - 1st International Conference on Advances in Computing and Communications, ACC 2011
Y2 - 22 July 2011 through 24 July 2011
ER -