Machine learning algorithms for big data analytics

Kumar Rahul; Rohitash Kumar Banyal; Puneet Goswami; Vijay Kumar

doi:10.1007/978-981-15-6876-3_27

Machine learning algorithms for big data analytics

Kumar Rahul, Rohitash Kumar Banyal, Puneet Goswami, Vijay Kumar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Scopus citations

Abstract

A machine learning algorithm (MLA) is an approach or tool to help in big data analytics (BDA) of applications. This tool is suitable to analyze a large amount of amount generated by an application for effective and efficient utilization of the data. Machine learning algorithms considered to find out meaningful data and information for industrial applications. It is one of the services under big data analytics (BDA). Big data analytics (BDA) is suitable for identifying risk management, cause of failure, identifying the customer based on their procurement detail records, detection of fraud, etc. So, this paper deals with the work done in this field to analyze the importance of machine learning tools and techniques, identify the field where it is suitable to use including industries such as marketing, human resource, healthcare, insurance, banking, automobile, etc. This paper identifies different challenges of machine learning tools and technologies including the current status of adoption in industries.

Original language	English
Title of host publication	Computational Methods and Data Engineering - Proceedings of ICMDE 2020
Editors	Vijendra Singh, Vijayan K. Asari, Sanjay Kumar, R.B. Patel
Publisher	Springer
Pages	359-367
Number of pages	9
ISBN (Print)	9789811568756
DOIs	https://doi.org/10.1007/978-981-15-6876-3_27
State	Published - 2021
Externally published	Yes
Event	International Conference on Computational Methods and Data Engineering, ICMDE 2020 - Sonipat, India Duration: 30 Jan 2020 → 31 Jan 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1227
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Computational Methods and Data Engineering, ICMDE 2020
Country/Territory	India
City	Sonipat
Period	30/01/20 → 31/01/20

Bibliographical note

Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2021.

Keywords

Big data
Filtering
Healthcare
K-Means
Machine learning

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-15-6876-3_27

Cite this

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title = "Machine learning algorithms for big data analytics",

abstract = "A machine learning algorithm (MLA) is an approach or tool to help in big data analytics (BDA) of applications. This tool is suitable to analyze a large amount of amount generated by an application for effective and efficient utilization of the data. Machine learning algorithms considered to find out meaningful data and information for industrial applications. It is one of the services under big data analytics (BDA). Big data analytics (BDA) is suitable for identifying risk management, cause of failure, identifying the customer based on their procurement detail records, detection of fraud, etc. So, this paper deals with the work done in this field to analyze the importance of machine learning tools and techniques, identify the field where it is suitable to use including industries such as marketing, human resource, healthcare, insurance, banking, automobile, etc. This paper identifies different challenges of machine learning tools and technologies including the current status of adoption in industries.",

keywords = "Big data, Filtering, Healthcare, K-Means, Machine learning",

author = "Kumar Rahul and Banyal, {Rohitash Kumar} and Puneet Goswami and Vijay Kumar",

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Rahul, K, Banyal, RK, Goswami, P & Kumar, V 2021, Machine learning algorithms for big data analytics. in V Singh, VK Asari, S Kumar & RB Patel (eds), Computational Methods and Data Engineering - Proceedings of ICMDE 2020. Advances in Intelligent Systems and Computing, vol. 1227, Springer, pp. 359-367, International Conference on Computational Methods and Data Engineering, ICMDE 2020, Sonipat, India, 30/01/20. https://doi.org/10.1007/978-981-15-6876-3_27

Machine learning algorithms for big data analytics. / Rahul, Kumar; Banyal, Rohitash Kumar; Goswami, Puneet et al.
Computational Methods and Data Engineering - Proceedings of ICMDE 2020. ed. / Vijendra Singh; Vijayan K. Asari; Sanjay Kumar; R.B. Patel. Springer, 2021. p. 359-367 (Advances in Intelligent Systems and Computing; Vol. 1227).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Machine learning algorithms for big data analytics

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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