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Find Out a New Product Value Quality Prediction in Market Using Data Mining

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dc.contributor.author Hasan, Mehedi
dc.contributor.author Hossain, Mosharof
dc.date.accessioned 2020-12-05T08:11:38Z
dc.date.available 2020-12-05T08:11:38Z
dc.date.issued 2020-07-09
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5290
dc.description.abstract The objective of this paper is to inform the information system manager and business analyst about the role of machine learning techniques in business data mining. Data mining is a fast growing application area in business. Machine learning techniques are used for data analysis and pattern discovery and thus can play a key role in the development of data mining application. Understanding the strengths and weaknesses of these techniques in the context of business is useful in selecting an appropriate method for a specific application .The paper , therefore , provides an overview of machine learning techniques and discusses their strengths weaknesses in the context of mining business data. A survey of data mining application in business is provided to investigation the use of learning techniques . Rule induction was found to be most popular, followed by neural networks and case – based reasoning . Most application were found to be most popular . en_US
dc.language.iso en en_US
dc.publisher Daffodil International University en_US
dc.subject Machine Learning en_US
dc.subject Data Mining en_US
dc.title Find Out a New Product Value Quality Prediction in Market Using Data Mining en_US
dc.type Other en_US

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