Effective Pattern Recognition Using Modified Prefix Span Algorithm

kaur, Harmeet; Kaur, Kiranbir

doi:10.2139/ssrn.3574629

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Effective Pattern Recognition Using Modified Prefix Span Algorithm

Proceedings of the International Conference on Advances in Electronics, Electrical & Computational Intelligence (ICAEEC) 2019

8 Pages Posted: 15 Apr 2020

See all articles by Harmeet kaur

Kiranbir Kaur

GNDU (main Campus) Amritsar

Date Written: April 13, 2020

Abstract

The advancement in the health and biotechnology has been produces huge amount of data that make records complex and expansive. In this paper data mining technique based on prefix span is used for diabetes disease detection and compared with the existing spade algorithm. The proposed algorithm uses MPV algorithm that discovers more patterns to detect disease accurately. The results will help in predicting quicker and more accurate disease so that it lead timely treatment of the patients.

Keywords: prefix span, filtering of data set, MPV algorithm

Suggested Citation: Suggested Citation

kaur, Harmeet and Kaur, Kiranbir, Effective Pattern Recognition Using Modified Prefix Span Algorithm (April 13, 2020). Proceedings of the International Conference on Advances in Electronics, Electrical & Computational Intelligence (ICAEEC) 2019, Available at SSRN: https://ssrn.com/abstract=3574629 or http://dx.doi.org/10.2139/ssrn.3574629