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Research about component library management based on decision tree
To retrieve and extract the most satisfying among the library of components is important in component library management system. The general component retrieval system seldom provides information about respect of reused actually. Data mining technology provides a feasible approach to above problem....
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creator | Yanhua Shao Mingsheng Zhang Jingkun Liang |
description | To retrieve and extract the most satisfying among the library of components is important in component library management system. The general component retrieval system seldom provides information about respect of reused actually. Data mining technology provides a feasible approach to above problem. In the paper, how to use the application of classification method decision-tree-based to the component reuse was discussed. In accordance with the limitation of research on traditional software component library management, we proposed the idea to apply data mining technology to the management of software component, provided auxiliary decision support to the relevant personnel of the component library. Secondly, in accordance with actual application, built an applied model of software component retrieval management by data mining technology, and analyzed the execution step of the applied model. Lastly, the model had been verified through experiment, thus the feasibility and validity of this strategy had been verified. |
doi_str_mv | 10.1109/ICNDS.2010.5479337 |
format | conference_proceeding |
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The general component retrieval system seldom provides information about respect of reused actually. Data mining technology provides a feasible approach to above problem. In the paper, how to use the application of classification method decision-tree-based to the component reuse was discussed. In accordance with the limitation of research on traditional software component library management, we proposed the idea to apply data mining technology to the management of software component, provided auxiliary decision support to the relevant personnel of the component library. Secondly, in accordance with actual application, built an applied model of software component retrieval management by data mining technology, and analyzed the execution step of the applied model. 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The general component retrieval system seldom provides information about respect of reused actually. Data mining technology provides a feasible approach to above problem. In the paper, how to use the application of classification method decision-tree-based to the component reuse was discussed. In accordance with the limitation of research on traditional software component library management, we proposed the idea to apply data mining technology to the management of software component, provided auxiliary decision support to the relevant personnel of the component library. Secondly, in accordance with actual application, built an applied model of software component retrieval management by data mining technology, and analyzed the execution step of the applied model. Lastly, the model had been verified through experiment, thus the feasibility and validity of this strategy had been verified.</description><subject>Application software</subject><subject>component library</subject><subject>component retrieval</subject><subject>Conference management</subject><subject>Data mining</subject><subject>Decision making</subject><subject>decision tree</subject><subject>Decision trees</subject><subject>Information retrieval</subject><subject>Management information systems</subject><subject>Personnel</subject><subject>Software libraries</subject><subject>software reuse</subject><subject>Technology management</subject><isbn>1424451620</isbn><isbn>9781424451623</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotT8tOwzAQtIQqQUt_AC7-gRTbu07sI4RXpQok6L1aO1swapIqDgf-niA6l3kcRjNCXGm10lr5m3X9cv--MmryFisPUJ2JuUaDaHVp1EzMjVLeA6oSz8Uy5y81Aa0pjb0Qd2-cmYb4KSn036OMfXvsO-5GeUhhoOFHttTRB7d_UaDMjew72XBMOU1iHJgvxWxPh8zLEy_E9vFhWz8Xm9endX27KZJXY4EBsQIPzjigENmRVgDBEZSkwVcB7N4ZTTE6y55daaFxzhpvPVdICAtx_V-bmHl3HFI7rdudLsMvtARJ4A</recordid><startdate>201005</startdate><enddate>201005</enddate><creator>Yanhua Shao</creator><creator>Mingsheng Zhang</creator><creator>Jingkun Liang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201005</creationdate><title>Research about component library management based on decision tree</title><author>Yanhua Shao ; Mingsheng Zhang ; Jingkun Liang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-4b4473938283abce8a1033b8a36a1397b35f821acc85e9e8653d8852959e74a43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Application software</topic><topic>component library</topic><topic>component retrieval</topic><topic>Conference management</topic><topic>Data mining</topic><topic>Decision making</topic><topic>decision tree</topic><topic>Decision trees</topic><topic>Information retrieval</topic><topic>Management information systems</topic><topic>Personnel</topic><topic>Software libraries</topic><topic>software reuse</topic><topic>Technology management</topic><toplevel>online_resources</toplevel><creatorcontrib>Yanhua Shao</creatorcontrib><creatorcontrib>Mingsheng Zhang</creatorcontrib><creatorcontrib>Jingkun Liang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yanhua Shao</au><au>Mingsheng Zhang</au><au>Jingkun Liang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Research about component library management based on decision tree</atitle><btitle>2010 International Conference on Networking and Digital Society</btitle><stitle>ICNDS</stitle><date>2010-05</date><risdate>2010</risdate><volume>2</volume><spage>18</spage><epage>21</epage><pages>18-21</pages><isbn>1424451620</isbn><isbn>9781424451623</isbn><abstract>To retrieve and extract the most satisfying among the library of components is important in component library management system. The general component retrieval system seldom provides information about respect of reused actually. Data mining technology provides a feasible approach to above problem. In the paper, how to use the application of classification method decision-tree-based to the component reuse was discussed. In accordance with the limitation of research on traditional software component library management, we proposed the idea to apply data mining technology to the management of software component, provided auxiliary decision support to the relevant personnel of the component library. Secondly, in accordance with actual application, built an applied model of software component retrieval management by data mining technology, and analyzed the execution step of the applied model. Lastly, the model had been verified through experiment, thus the feasibility and validity of this strategy had been verified.</abstract><pub>IEEE</pub><doi>10.1109/ICNDS.2010.5479337</doi><tpages>4</tpages></addata></record> |
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ispartof | 2010 International Conference on Networking and Digital Society, 2010, Vol.2, p.18-21 |
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subjects | Application software component library component retrieval Conference management Data mining Decision making decision tree Decision trees Information retrieval Management information systems Personnel Software libraries software reuse Technology management |
title | Research about component library management based on decision tree |
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