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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
AGRICULTURE DATA FEATURE EXTRACTION USING SEQUENTIAL PATTERN MINING AND RANDOM FOREST (SPM-RF) DATA MINING METHOD
Authors
N. HARSHINI, Dr. M. RATHAMANI
Keywords
Feature Extraction, Sequential Pattern Mining, Random Forest and Agricultural;
Abstract
Feature extraction assumes a critical part in analyzing agricultural datasets and acquiring experiences for decision-making. In this paper we propose a methodology that consolidates Sequential Pattern Mining (SPM) and Random Forest (RF) techniques for feature extraction in agricultural datasets. The SPM-RF approach uses the temporal request of occasions in agricultural information to extract regular sequential patterns, which are then used to determine enlightening features. These features are thusly incorporated with the first dataset to make a feature-improved dataset. The Random Forest calculation is utilized to prepare a prescient model utilizing the improved features. Experimental results show the viability of the proposed SPM-RF approach in extracting significant features from agricultural datasets, empowering further developed prediction in the agricultural area.
IJCRT's Publication Details
Unique Identification Number - IJCRT2311147
Paper ID - 245591
Page Number(s) - b245-b253
Pubished in - Volume 11 | Issue 11 | November 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
N. HARSHINI, Dr. M. RATHAMANI, "AGRICULTURE DATA FEATURE EXTRACTION USING SEQUENTIAL PATTERN MINING AND RANDOM FOREST (SPM-RF) DATA MINING METHOD", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 11, pp.b245-b253, November 2023, Available at :http://www.ijcrt.org/papers/IJCRT2311147.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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