INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERING

International Peer Reviewed (Refereed), Open Access Research Journal

(By Aryavart International University, India)

E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015

Impact Factor(2023): 5.941 | Impact Factor(2024): 6.230

ABSTRACT


APPLYING TREE BASED ASSOCIATION RULES (TAR) TO ENHANCE THE EFFICACY OF DISTRIBUTED DATA ENVIRONMENT

Hardik Choudhary

Vol. 5, Issue 1, Jan-Dec 2019

Page Number: 79 - 86

Abstract:

Extracting information from large amount of data is known as data mining which contains structured and semi structured data formats. Data mining includes prediction and analysis of the data. The system of query answering helps to make queries and improve the results for XML documents and reduced processing time even for big sized data files. In this paper, wild card search is used for extracting the frequent pattern to maximize search results in library database. Tree based Association Rules (TAR) files offers considered information on the content and structure of XML file and the comparison of proposed linear search algorithm using wild card search (pattern like ??,** and Multi keyword) with existing CM Tree Miner approach based on the evaluation of total matched file count, total elapsed time, time based efficient and file based efficient.

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