Abstract
Semi-structured data is different from the traditional data model. It has data prior to schema, and semi-structured data model is used to describe the data structural information of data rather than the mandatory constraint. Therefore, discovery of semi-structured data has become the first step of knowledge discovery. In this paper, the concept of hierarchical data is adopted and a counting principle of "cumulative transformation" and hierarchical transactional database is described. Accordingly, a SHDP-mine mining algorithm based on SHDP-tree and a basic schema for data mining of semi-structured hierarchical data is presented. Finally, its effectiveness and efficiency is validated on a theoretical level and by experimental analysis.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
