@article {10.3844/jcssp.2013.1451.1455,
article_type = {journal},
title = {ANALYSIS OF INTELLIGENT DATA MINING FOR INFORMATION EXTRACTION USING JAVA AGENT DEVELOPMENT ENVIRONMENT PLATFORM},
author = {Kumar, M. Vinoth and Arasu, G. Tholkappia and Palanisamy, V.},
volume = {9},
number = {11},
year = {2013},
month = {Sep},
pages = {1451-1455},
doi = {10.3844/jcssp.2013.1451.1455},
url = {https://thescipub.com/abstract/jcssp.2013.1451.1455},
abstract = {In this study, the problem of unstructured information extraction has been analyzed and the need for a new Information Extraction algorithm is justified. We propose an Intelligent Information Extraction using Java Agent Development Environment (JADE) to be an optimal solution for intelligent information extraction. This proposed algorithm first assigns intelligent agents to gathering data, which they then classify, match and organize to construct sequential information for a user query. It improves the efficiency and performance for retrieving a proper information results as a sequence that satisfy user’s needs. It gives the user needed documents based on similarity between query matching and relevant document mechanism. The results obtained from the Intelligent Information Extraction are optimal.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}