Fast discovery of association rules
Advances in knowledge discovery and data mining
Multi-dimensional sequential pattern mining
Proceedings of the tenth international conference on Information and knowledge management
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Mining Access Patterns Efficiently from Web Logs
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Web Intelligence
Algorithms for Context Based Sequential Pattern Mining
Fundamenta Informaticae
Mining multidimensional and multilevel sequential patterns
ACM Transactions on Knowledge Discovery from Data (TKDD)
Mining convergent and divergent sequences in multidimensional data
International Journal of Business Intelligence and Data Mining
Algorithms for Context Based Sequential Pattern Mining
Fundamenta Informaticae
Hi-index | 0.00 |
Sequential pattern mining is an important task for Web usage mining. In this paper we generalize it to the problem of mining context based patterns, where context attributes may be introduced both for describing the complete sequence (e.g. characterizing user profiles) and for each element inside this sequence (describing circumstances for succeeding transactions). Such patterns provide information about circumstances associated with the discovered patterns what is not present in the traditional patterns. Their usefulness is illustrated by an example of analysing e-bank customer behaviour.