Identifying Web Users on the Base of their Browsing Patterns

DOI

10.2991/ijcis.2011.4.5.29How to use a DOI?

Keywords

Web traffic analysis, Web usage mining, Browsing behaviour, sequential data classification, quality measures, indiscernibility.

Abstract

Our aim is to develop methodology for recognition of Internet portal users on the base of their browsing patterns. This is a classification task in which we have thousands values of decision attribute and objects are described by means of sequences of symbols. We develop feature selectors which make our task tractable. Since the behaviour usually does not distinguish users, we introduce user profiles which are clusters of indiscernible users. Then, we construct classifiers which assign descriptions of user behaviour to user profiles. We also derive quality measures specific for our task.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Wojciech Jaworski
PY  - 2011
DA  - 2011/09/01
TI  - Identifying Web Users on the Base of their Browsing Patterns
JO  - International Journal of Computational Intelligence Systems
SP  - 1062
EP  - 1069
VL  - 4
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.5.29
DO  - 10.2991/ijcis.2011.4.5.29
ID  - Jaworski2011
ER  -