Find Out a New Product Value Quality Prediction in Market Using Data Mining
| 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.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 . | |
| dc.identifier.other | http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5290 | |
| dc.identifier.uri | http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5290 | |
| dc.language.iso | en | |
| dc.publisher | Daffodil International University | |
| dc.source | DIU Institutional Repository | |
| dc.subject | Machine Learning | |
| dc.subject | Data Mining | |
| dc.title | Find Out a New Product Value Quality Prediction in Market Using Data Mining | |
| dc.type | Other |
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