Paper Title
A Comprehensive Survey Of Data Mining Techniques for Predictive Analysis
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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: 000122256
Research Area: Engineering
Author Type: Indian Author
Country: Pune, Maharastra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2310413.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310413
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