Weighted sequential pattern mining algorithm research based on well completion business process

Focusing on the users is more interested in the sequential patterns that accord with the well completion business process habit overall in the web access mode of well completion mobile platform. This paper proposed a weighted sequential pattern mining algorithm based on the well completion business process. With analyzing the business process models and web access log of well completion, confirm the business dependency strength calculation model of well completion as the sequence weight, at the same time, using the technology of k-minimum weighted support in the weighted mining to improve the PrefixSpan algorithm. The algorithm discards a lot of access sequence that dissatisfied the needs of the business process in the weighted mining, avoids the happening of the candidate combination explosion effectively. Experiments showed that the algorithm can rapidly excavate meaningful well completion sequential patterns.