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

dc.contributor.authorHasan, Mehedi
dc.contributor.authorHossain, Mosharof
dc.date.accessioned2020-12-05T08:11:38Z
dc.date.available2020-12-05T08:11:38Z
dc.date.issued2020-07-09
dc.description.abstractThe 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 .
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5290
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5290
dc.language.isoen
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectMachine Learning
dc.subjectData Mining
dc.titleFind Out a New Product Value Quality Prediction in Market Using Data Mining
dc.typeOther

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