Research on the Application of Data Mining Algorithm Based on Decision Tree.
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| Title: | Research on the Application of Data Mining Algorithm Based on Decision Tree. |
|---|---|
| Authors: | Song Liangong1 |
| Source: | Metallurgical & Mining Industry. 2015, Issue 9, p843-848. 6p. |
| Subjects: | Application software research, Data mining, Decision trees |
| Abstract: | In this paper, the author researches on the application of data mining algorithm based on decision tree. Compared with other classification methods, decision tree has the following advantages: relatively smaller calculation workload, the ease of getting apparent rules, the capability of showing important decision characteristics and higher correctness of classification, etc. However, the existing decision tree algorithm also exists a lot of shortage when being applied in practice, such as its lower computation efficiency and bigger scale of decision tree, etc. Attribute reduction algorithm ER based on the degree of dependency of attribute and post-pruning algorithm Prune based on rough set theory are proposed. Finally, the optimized decision tree algorithm is used in supplier measurement system, and its validity is verified when comparing with other algorithm. [ABSTRACT FROM AUTHOR] |
| Copyright of Metallurgical & Mining Industry is the property of Ukrmetallurginform STA Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 115961947 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Research on the Application of Data Mining Algorithm Based on Decision Tree. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Song+Liangong%22">Song Liangong</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Metallurgical+%26+Mining+Industry%22">Metallurgical & Mining Industry</searchLink>. 2015, Issue 9, p843-848. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Application+software+research%22">Application software research</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+trees%22">Decision trees</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper, the author researches on the application of data mining algorithm based on decision tree. Compared with other classification methods, decision tree has the following advantages: relatively smaller calculation workload, the ease of getting apparent rules, the capability of showing important decision characteristics and higher correctness of classification, etc. However, the existing decision tree algorithm also exists a lot of shortage when being applied in practice, such as its lower computation efficiency and bigger scale of decision tree, etc. Attribute reduction algorithm ER based on the degree of dependency of attribute and post-pruning algorithm Prune based on rough set theory are proposed. Finally, the optimized decision tree algorithm is used in supplier measurement system, and its validity is verified when comparing with other algorithm. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Metallurgical & Mining Industry is the property of Ukrmetallurginform STA Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=115961947 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 843 Subjects: – SubjectFull: Application software research Type: general – SubjectFull: Data mining Type: general – SubjectFull: Decision trees Type: general Titles: – TitleFull: Research on the Application of Data Mining Algorithm Based on Decision Tree. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Song Liangong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 20760507 Numbering: – Type: issue Value: 9 Titles: – TitleFull: Metallurgical & Mining Industry Type: main |
| ResultId | 1 |
