Data mining enables the discovery of frequent navigation patterns on retail web sites which help improve their design. Previous work has often focused on discovering 'maximal' navigation patterns without paying much attention to partial navigation attempts. With reference to some discoverable patterns of navigating a hypothetical retail web site, we put forward our case for mining prefixes of frequent web navigation paths.
|Title of host publication||2014 2nd International Conference on Systems and Informatics, ICSAI 2014|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||5|
|Publication status||Published - 1 Jan 2015|
Bibliographical notePaper presented at the 2014 2nd International Conference on Systems and Informatics (ICSAI), 15-17 November 2014, Shanghai, China.
ISBN of the source publication: 9781479954582
YEUNG, W. L. (2015). Applications of data mining in online retailing : a case for mining prefix-ordered web site navigation paths. In 2014 2nd International Conference on Systems and Informatics, ICSAI 2014 (pp. 943-947). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSAI.2014.7009421