Implementation of Robust Search Algorithm to Mine Data from e-Literature Databases

Volume 6 Issue 2 March - May 2017

Research Paper

Implementation of Robust Search Algorithm to Mine Data from e-Literature Databases

S. Govinda Rao*

Associate Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Telangana, India.

Rao, S. G. (2017). Implementation of Robust Search Algorithm to Mine Data from e-Literature Databases. i-manager’s Journal on Information Technology, 6(2), 11-15. https://doi.org/10.26634/jit.6.2.13571

Abstract

Mining data from databases have seen many upgrades since few decades considering the development of huge data repositories with the advent of internet revolution worldwide. Inherently, the importance of search algorithms to mine data has gained prominence over a period of time. Many programming languages have been used to retrieve relevant information from databases. In this paper, the author presents the E-Literature database created in MySQL with all possible entries, such as ISSN, Publisher name, publication type, etc. Authors from different geographical regions can also be searched from the database. The search algorithm code implemented in the work is used to search the database with varied options, such as 'Abstract', 'keywords', 'affiliation', 'country', 'ISSN', etc. Each search option and the relevant code were written in PHP. Binary search algorithm has been implemented in the work to perform search routine. Apart from general search option, a robust search method which combines various search combinations called 'combination search' can be used to efficiently mine data.