Title :
Applications of data mining in online retailing: A case for mining prefix-ordered web site navigation paths
Author_Institution :
Dept. of Comput. & Decision Sci., Lingnan Univ., Hong Kong, China
Abstract :
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.
Keywords :
Web sites; data mining; retail data processing; data mining; frequent navigation pattern discovery; hypothetical retail Web site; online retailing; partial navigation attempts; prefix-ordered Web site navigation path mining; retail Web sites; Business; Data mining; Electronic commerce; Knowledge discovery; Navigation; Web sites;
Conference_Titel :
Systems and Informatics (ICSAI), 2014 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-5457-5
DOI :
10.1109/ICSAI.2014.7009421
