A Descriptive Framework for Information Retrieval Using Crawler Based Clustering and Effective Search Algorithm

S. Gowri (), R. Subhashini, G. Mathivanan, J. Jabez, S. Vigneshwari and J. S. Vimali
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S. Gowri: Sathyabama Institute of Science and Technology, Information Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai 600 119, Tamil Nadu, India
R. Subhashini: Sathyabama Institute of Science and Technology, Information Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai 600 119, Tamil Nadu, India
G. Mathivanan: Sathyabama Institute of Science and Technology, Information Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai 600 119, Tamil Nadu, India
J. Jabez: Sathyabama Institute of Science and Technology, Information Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai 600 119, Tamil Nadu, India
S. Vigneshwari: Sathyabama Institute of Science and Technology, Information Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai 600 119, Tamil Nadu, India
J. S. Vimali: Sathyabama Institute of Science and Technology, Information Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai 600 119, Tamil Nadu, India

International Journal of Information Technology & Decision Making (IJITDM), 2024, vol. 23, issue 02, 993-1016

Abstract: Information Retrieval is the most predominant topic in the field of Information Systems as the generation of data over various systems and channels is growing every day. The proposed system which works on the offline basis is designed for the purpose of organizing data in a defined manner and for the purpose of increasing relevancy in the retrieval of the required information from this largely generated data. In the proposed system two novel algorithms, Dynamic Path Selection Clustering (DPSC) algorithm for clustering and the Rearward Binary Window Match (RBWM) algorithm for search process are introduced to overcome the difficulty in data organization and search. The evaluation of the entire system is done and the results are compared along with the results of the existing techniques.

Keywords: Document clustering; pre-processing; data management; Google’s crawler; integrated (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0219622022500535

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