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 ...