A Comprehensive Survey Of Data Mining Techniques for Predictive Analysis

A Comprehensive Survey Of Data Mining Techniques for Predictive Analysis

Registration ID: IJNRD_207963

Published ID: IJNRD2310413

DOI: Click Here to Get

Shravani Nagnath Swami , Nisha Shaileshkumar yadav , Yash Gorakh Khakre10 , Varun Rajesh sharma , Aryan kumar

A Comprehensive Survey Of Data Mining Techniques for Predictive Analysis

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.

Published Paper   E-Certificate

"A Comprehensive Survey Of Data Mining Techniques for Predictive Analysis", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 10, page no.e100-e104, October-2023, Available :https://ijnrd.org/papers/IJNRD2310413.pdf

Volume 8 Issue 10, October-2023

Pages : e100-e104

Paper Reg. ID: IJNRD_207963

Published Paper Id: IJNRD2310413

Downloads: 000121132

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

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

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

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

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

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area