Article,

A New SDM Classifier Using Jaccard Mining Procedure Case Study: Rheumatic Fever Data

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International Journal on Bioinformatics & Biosciences (IJBB), Volume 4 (Number 1): 01-11 (March 2014)
DOI: 10.5121/ijbb.2014.4101

Abstract

In this paper, a new Statistical Data Mining (SDM) technique is proposed using Jaccard Mining Procedure (JMP) contributing a novel classifier & predictor by applying very effective stages on the training data depending on Jaccard (J) distance matrix Linked with the Gini Index Measure as precision measure for initiating a new classifier and a new predictor, The proposed SDM technique using JMP is applied and examined on a Rheumatic Fever Data to demonstrate its applicability.

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