Published November 9, 2020 | Version v1
Journal article Open

A NEW SDM CLASSIFIER USING JACCARD MINING PROCEDURE CASE STUDY: RHEUMATIC FEVER DATA

Authors/Creators

  • 1. Mathematics Department, Faculty of Science, Tanta University, Tanta, Egypt
  • 2. Institute of Statistical Studies & Research (ISSR), Cairo University, Cairo, Egypt

Description

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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