Paper Title
A Comprehensive Survey Of Data Mining Techniques for Predictive Analysis
Article Identifiers
Authors
Shravani Nagnath Swami , Nisha Shaileshkumar yadav , Yash Gorakh Khakre10 , Varun Rajesh sharma , Aryan kumar
Keywords
A Comprehensive Survey Of Data Mining Techniques for Predictive Analysis
Abstract
The research begins by conducting exploratory data analysis, revealing spatiotemporal patterns of terrorist incidents. This study presents an in-depth exploration and implementation of machine learning models for predicting housing prices based on diverse features and attributes. Fake logos, or counterfeit representations of popular brands, have become a significant concern in the digital era, posing threats to consumer trust and brand reputation. Movie recommendation systems have become an integral part of modern entertainment platforms, assisting users in discovering films tailored to their preferences. Anime has become a global cultural phenomenon, with a vast and diverse library of titles catering to a wide range of tastes and preferences. In this digital age, recommendation systems play a pivotal role in helping viewers discover anime that align with their interests.
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How To Cite (APA)
Shravani Nagnath Swami, Nisha Shaileshkumar yadav, Yash Gorakh Khakre10, Varun Rajesh sharma , & Aryan kumar (October-2023). A Comprehensive Survey Of Data Mining Techniques for Predictive Analysis. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(10), e100-e104. https://ijnrd.org/papers/IJNRD2310413.pdf
Issue
Volume 8 Issue 10, October-2023
Pages : e100-e104
Other Publication Details
Paper Reg. ID: IJNRD_207963
Published Paper Id: IJNRD2310413
Downloads: 000121977
Research Area: Engineering
Country: Pune, Maharastra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2310413.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310413
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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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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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.
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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
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