Paper Title

A Comparative Study of Data Mining Algorithms

Article Identifiers

Registration ID: IJNRD_184532

Published ID: IJNRD2212059

DOI: Click Here to Get

Authors

JINCY JOY

Keywords

Data mining, Image mining, Image classification, Datamining Algorithms.

Abstract

Data mining is a dominant research area in computer science field. It is a knowledge discovery process to identify patterns in large set of data. Image mining is one of the major approaches in data mining, which involve the process of extraction of images from database. Image Classification includes the process of categorizing images into a number of predefined sets based on specific rules. It includes other methods like image preprocessing, object detection, image feature extraction, classification of object and many more techniques. These techniques are used to generate accurate prediction results in each case of the data in their target class. It is a very primary and most challenging task in different application domains, which include biomedical imaging, satellite navigation, biometry, remote sensing and video surveillance. The main objective of this study is to compare several predominant datamining algorithms in image classification.

How To Cite (APA)

JINCY JOY (December-2022). A Comparative Study of Data Mining Algorithms . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(12), a432-a435. https://ijnrd.org/papers/IJNRD2212059.pdf

Issue

Volume 7 Issue 12, December-2022

Pages : a432-a435

Other Publication Details

Paper Reg. ID: IJNRD_184532

Published Paper Id: IJNRD2212059

Downloads: 000121982

Research Area: Computer Science & Technology 

Country: Palakkad, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2212059.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212059

About Publisher

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

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Call For Paper

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.

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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).

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Subject Category: Research Area

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