BAYESIAN NETWORK DUPLICATION RESOLUTION METHOD FOR HIERARCHICAL DATA
Main Article Content
Abstract
Duplicate detection is that the method of separating several versions of the same real-world object in the very information supply. Duplicate detection may be a disadvantage of considerable significance in a variety of applications, in combination with client relationship management, personal information management, or data processing. There is a class of models self-addressed and surveyed for the duplicate identification of hierarchical data such as the extensible markup language (XML).Associate algorithmic software XMLDup can auto-address the theorem network to find out the XML pieces of a chance. The heterogeneous information duplication technique can also be used for XMLDup to build and ensure stratified duplication by XML mining. The heterogeneous information duplication technique can also be used for XMLDup to build and ensure stratified duplication by XML mining.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0 DEED).
You are free to:
- Share — copy and redistribute the material in any medium or format
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes .
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Rights of Authors
Authors retain the following rights:
1. Copyright and other proprietary rights relating to the article, such as patent rights,
2. the right to use the substance of the article in future works, including lectures and books,
3. the right to reproduce the article for own purposes, provided the copies are not offered for sale,
4. the right to self-archive the article.