Some properties of complex tree integration criteria
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Path-Oriented integration method for complex trees
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
Approximate algorithms for solving o1 consensus problems using complex tree structure
Transactions on Computational Collective Intelligence VIII
A heuristic method for collaborative recommendation using hierarchical user profiles
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Using subtree agreement for complex tree integration tasks
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
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The process of integrating data in a hierarchical structure is usually based on algorithms designed for one specific task; for example, for eXtendable Markup Language (XML) schema integration. In this article, a more general approach for integration of data in a hierarchical structure is proposed using a generalized tree structure called a complex tree. For this aim we define a set of criteria for integration. These criteria are completeness, precision, and optimality. A simple algorithm based on these criteria is presented and the advantages of the approach are discussed.