AGRICULTURE DATA FEATURE EXTRACTION USING SEQUENTIAL PATTERN MINING AND RANDOM FOREST (SPM-RF) DATA MINING METHOD
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…
