EFFECTUAL ILLNESS ANALYSIS USING HURISTIC CLASSIFICATION METHODOLOGIES IN DATAMINING

Registration ID: IJNRD_181537

Published ID: IJNRD2205188

DOI: Click Here to Get

Dr.Vineetha K R , Muhsina K P

Keywords:Data Minining,SEER,WEKA,Breast cancer survivability

: Several combinations of database and machine learning approaches are used to extract hidden and unknown patterns from massive data sets. Data mining is essential for dealing with large amounts of data. Data mining is concerned with data heterogeneity ,and correctness. Furthermore, medical data mining is an extremely essential research subject, and substantial efforts have in this area in recent years since accuracy in medical data systems can lead to seriously deceptive medical treatments. Suitable mining methods should be used to examine medical data collections. Data mining techniques have been employed in constructing medical systems for disease prediction using a set of medical data sets to execute related tasks. In this an examination of the survivability rate prediction of breast cancer patients using data mining approaches is presented in this paper. SEER Public-Use Data was used as the source of information. The preprocessed data collection contains 151,886 records, each of which has all 16 fields from the SEER database. We looked into three data mining methods: Nave Bayes, back-propagated neural networks, and C4.5 decision tree algorithms. These algorithms have been used in a number of experiments. The achieved prediction results are comparable to those of other methods. However, we discovered that the C4.5 method performs far better than the other two strategies.

Published Paper   E-Certificate

Dr.Vineetha K R & Muhsina K P (May-2022). EFFECTUAL ILLNESS ANALYSIS USING HURISTIC CLASSIFICATION METHODOLOGIES IN DATAMINING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 1426-1430. https://ijnrd.org/papers/IJNRD2205188.pdf

Volume 7 Issue 5, May-2022

Pages : 1426-1430

Paper Reg. ID: IJNRD_181537

Published Paper Id: IJNRD2205188

Downloads: 000121979

Research Area: Science & Technology

Country: Palakkad, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2205188.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2205188

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details