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Data Mining and Machine Learning Applications
book

Data Mining and Machine Learning Applications

by Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi
March 2022
Intermediate to advanced content levelIntermediate to advanced
496 pages
12h 39m
English
Wiley-Scrivener
Content preview from Data Mining and Machine Learning Applications

17Conclusion and Future Direction in Data Mining and Machine Learning

Santosh R. Durugkar1, Rohit Raja2, Kapil Kumar Nagwanshi3* and Ramakant Chandrakar4

1Amity University Rajasthan, Jaipur, India

2IT Department, GGV Bilaspur Central University, Bilaspur, India

3ASET, Amity University Rajasthan, Jaipur, India

4CV Raman University, Bilaspur, India

Abstract

Data becomes a new currency for the world. Due to COVID-19, a significantly fewer number of flights are running, and hence the scientists cannot forecast the weather accurately. The data capturing also goes low because of this smaller number of flights. Data mining techniques play a vital role in collecting data for prediction and forecasting using different machine learning techniques. Recommender systems are available at all emerging places like agriculture, admission, matchmaking, traveling, share market, housing loan, parenting, nutrition, and consultation. Cybersecurity and forensics are also very challenging domains to fight with cybercrimes. Only data can save an entity from cyber-attacks. This chapter concludes with the future direction in data mining and machine learning techniques dealing with some related issues.

Keywords: KDD, stream mining, ANN, machine learning, deep learning, object recognition, object instance segmentation, R-CNN

17.1 Introduction

This book gives a brief introduction to tools, techniques, algorithms, and methods used in data mining. We hope readers will get a closer look at every aspect of ...

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Publisher Resources

ISBN: 9781119791782Purchase Link