A Multicategory-Returned Algorithm for Hierarchical Classification;

Adaptive Construction of Hierarchical Classifiers Basing on the Confusion Relationship among Multiple Patterns;

Determination of the hierarchical relationship and the objective patterns of sub-classifiers is a primary problem in the construction of a hierarchical classifier.

Distributed data sources which employ taxonomy hierarchy to describe the contents of their objects are considered,and a super-peer-based semantic overlay network(SSON) is proposed for sharing and searching their data objects.

Therefore,a taxonomy hierarchy based P2P network(TBSN)is presented in this paper,which fully considers the characteristics of data sources employing taxonomy hierarchy to describe the conten.

However,existing semantic clustering approaches based on the taxonomy hierarchy take little account of load balancing problem among clusters,which inevitably compromise network performance.

A diagnostic nodel based on hierarchical classification in connection with the diagnostic problem of a complex system is proposed.

With the experiment of Web page hierarchical classification,we.

Based on an improved Chord routing model,this paper introduces hierarchical classification and designs a P2P file sharing mechanism named CTI-Chord.

A hierarchic classification diagnosis model, based on fuzzy membership grade and rules is being proposed.