A NEW SDM CLASSIFIER USING JACCARD MINING PROCEDURE CASE STUDY: RHEUMATIC FEVER DATA
| Main Authors: | M.E. Abd El-Monsef, E. A. Rady, A. M. Kozea, W. A. Hassanein, S. Abd El-Badie |
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| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4012867 |
Daftar Isi:
- 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.