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Summary of Mathematics doctoral thesis: Bioinformatics XML documents index method based on R-Tree method

Research indexing method based on R-tree method to increase the efficiency of XPath queries on XML data, through intermediate data converted into numerical coordinates of tags; use the method of converting XML structured text data into numeric data that can be represented on 2-dimensional space (can be extended to many dimensions). | MINISTRY OF EDUCATION VIETNAM ACADEMY OF AND TRAINING SCIENCE AND TECHNOLOGY GRADUATE UNIVERSITY OF SCIENCE AND TECHNOLOGY ------------------------------- DINH DUC LUONG BIOINFORMATICS XML DOCUMENTS INDEX METHOD BASED ON R-TREE METHOD Major Mathematical Foundations for Computer Science Code 9 46 01 10 SUMMARY OF MATHEMATICS DOCTORAL THESIS Ha noi 2019 List of works of author 1 Dinh Duc Luong Hoang Do Thanh Tung A Survey on Indexing for Gene Database International Clustering Workshop Teaching Research Business December 27-29 2014 pp. 50-54. 2 Hoang Do Thanh Tung Dinh Duc Luong A proposed Indexing Method for Treefarm database International Conference on Information and Convergence Technology for Smart Society Vol.2 No.1 Jan 19-21 2016 in Ho Chi Minh Vietnam pp. 79-81. 3 Vuong Quang Phuong Le Thi Thuy Giang Dinh Duc Luong Ngo Van Binh Hoang Do Thanh Tung Technology solution of managing pig breed Proceedings of the XXI National Conference Some selected issues of Information Technology and Communications Thanh Hoa 27-28 7 2018 pp. 110-116 4 Hoang Do Thanh Tung Dinh Duc Luong An Improved Indexing Method for Xpath Queries Indian Journal of Science and Technology Vol 9 31 DOI 10.17485 ijst 2016 v9i31 92731 August 2016 pp. 1-7 SCOPUS . 5 Dinh Duc Luong Vuong Quang Phuong Hoang Do Thanh Tung A new Indexing technique XR tree for Bioinformatic XML data compression International Journal of Engineering and Advanced Technology IJEAT ISSN 2249-8958 Online Volume-8 Issue-5 June 2019 pp. 1-7 SCOPUS . INTRODUCTION XML documents are structured text data or semi-structured data which has been popular for decades because data storage is flexible and easy to share and use through the internet. In the past XML documents were not usually very large but in recent years began to appear large bioinformatics XML documents that can reach Giga Tera Byte because of the rapid development of biotechnology in this era. That data can be found from reputable data sources such as SRA decoded sequences