Special Issue on Basis of Applied Sciences and Its Development in the Contemporary World Published in Association with Department of Technology and Organization of Construction, Samarkand State Architectural and Civil Engineering Institute, Uzbekistan Department of Mechanization of livestock, Samarkand Institute of Veterinary Medicine, Uzbekistan Novateur Publication India’s International Journal of Innovations in Engineering Research and Technology [IJIERT] ISSN: 2394-3696, Website: www.ijiert.org, 15th June, 2020 126 | Page BAYESIAN NETWORK DUPLICATION RESOLUTION METHOD FOR HIERARCHICAL DATA L. Chandra Sekhar Reddy 1 , Ph.D. Scholar, Shri Jagdishprasad Jhabarmal Tibrewala, University 1 Department of Computer Science and Engineering 1, 2, 3 Dr. D. Murali 2, Professor, CMRCET, Hyderabad 2 . Department of Computer Science and Engineering 1, 2, 3 R. Venkateswara Reddy 3 Ph.D. Scholar, Shri Jagdishprasad Jhabarmal Tibrewala, University 3. Department of Computer Science and Engineering 1, 2, 3 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. This work will set the key stone for alleviating duplication in large information sets. Here theorem network will be used for duplicate detection, and the XMLDup technique will be able to perform duplicate detection with high power and efficiency by experimenting with increasing artificial and world dataset. This technique can be used to compare any level of the XML tree from root to leaves. The