In this paper, labeled ordered tree is used as the data model of semi structured data,the problem of maximum tree structured frequent pattern mining from semi structured data is studied.

At first a tag tree of the web page is constructed, then the authors divide the web page into several parts as Main part, Site flag, Navigation bar, Communication part, Copyrights, and the tag tree tells the relationship of these parts.

By reducing the calculation complexity of the rate-distortion slope estimate and simplifying the design of optimized truncation and tag tree encoding in code stream organization, the difficulty and the resource of hardware implementation for T_2 encoder are reduced, and the par.

A representation for compact layout of logistics facilities based on an O-tree(ordered tree) was proposed following the approach for design of very large integrated circuit.

Based on ordered tree, an algorithm for reading order detection after page top-down decomposition for constructing layout objects .

<Abstrcat> To efficiently mine all frequent pattern trees from the semi-structured web data,the semi-structured data were modeled as labeled-ordered tree and an algorithm for mining all frequent pattern trees in an ordered data tree was proposed.

A difference marker sequence CTTTTTTCTTTT was selected from C-strain and other strains of CSFV,and specific PCR primer pair and nested-PCR primer pair were designed at the basis of previously published sequences of CSFV.