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Hadoop MapReduce with Machine Learning Techniques for Big Data Computing On Cloud Environment

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dc.contributor.author Sadaria, Priti
dc.contributor.author Dr. Achyut C., Patel
dc.date.accessioned 2024-11-21T06:38:10Z
dc.date.available 2024-11-21T06:38:10Z
dc.date.issued 2020
dc.identifier.issn 1548-7741
dc.identifier.uri http://10.9.150.37:8080/dspace//handle/atmiyauni/1839
dc.description.abstract Now a day no field remains untouched with Information Technology. Health care industries are using Information Technology for different aspects. Mining of valuable information by analyzing this quickly rising data for building a useful model which can be relevant in real life is really a difficult task. Knowledge discovery and decision making from such huge data is a novel trend that is Big Data Computing. Machine learning techniques can be used to make predictive analytics. Cloud computing provides computing services over the internet which includes servers, storage, databases, software and analytics for big data processing. Extracting useful information from this massive amount of data is highly difficult, expensive, and time consuming and therefore the problem can be solved by processing huge amount of data by applying machine learning techniques on Hadoop platform in Cloud environment. en_US
dc.language.iso en en_US
dc.publisher Journal of Information and Computational Science en_US
dc.relation.ispartofseries 10;11
dc.subject Hadoop en_US
dc.subject MapReduce en_US
dc.subject Machine Learning en_US
dc.subject Big Data en_US
dc.subject Cloud en_US
dc.title Hadoop MapReduce with Machine Learning Techniques for Big Data Computing On Cloud Environment en_US
dc.type Article en_US


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