Applying Data Mining and Petri Net in Reengineering of Manufacture Management Information System
This paper studied association rules mining algorithm for mining process model in workflow log of manufacture management information system with XML technology, applied Petri net in modelling, simulation and optimization of process model, and studied the method for reengineering and optimization of...
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creator | Shaoqin Wu Chaoan Lai Yanming Sun |
description | This paper studied association rules mining algorithm for mining process model in workflow log of manufacture management information system with XML technology, applied Petri net in modelling, simulation and optimization of process model, and studied the method for reengineering and optimization of information system based on function units in terms of optimized process model, it was pointed that the difference between actual process model and the process model implied in information system would lead to the decrease of efficiency of information system, and the reengineering and optimization of information system based on actual optimized process model would lead to improvement of efficiency. It was proved with experiments that the association rules mining algorithm put forward in this paper is better than traditional algorithm Apriori in performance |
doi_str_mv | 10.1109/APSCC.2006.36 |
format | Conference Proceeding |
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It was proved with experiments that the association rules mining algorithm put forward in this paper is better than traditional algorithm Apriori in performance</description><subject>Business process re-engineering</subject><subject>Data mining</subject><subject>Enterprise resource planning</subject><subject>Information systems</subject><subject>Management information systems</subject><subject>Manufacturing processes</subject><subject>Optimization methods</subject><subject>Petri nets</subject><subject>Pulp manufacturing</subject><subject>Reengineering</subject><subject>Standardization</subject><subject>XML</subject><isbn>9780769527512</isbn><isbn>0769527515</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjM1OhDAURpsYE83I0pWbvgB420ILS4J_k8zoxNH1eIHLpGYopHQWvL0SPZvvJF9yGLsVkAgBxX2521dVIgF0ovQFiwqTg9FFJk0m5BWLpukbflGFzsBcs69yHE-zdUf-gAH51rrF0bV8R8Fb_kqBW8ffidzROiK_3EPHt-jOHTbh7GlxPFJPLvC16wbfY7CD4_t5CtTfsMsOTxNF_7tin0-PH9VLvHl7XlflJrbCZCGu00xQLUAXqdFYZ9S2RU6gQOTUdrmWqFslpUJUbV2DEirtkKAxNUIjIFcrdvfXtUR0GL3t0c-HFFIhlVI_yA1TLg</recordid><startdate>200612</startdate><enddate>200612</enddate><creator>Shaoqin Wu</creator><creator>Chaoan Lai</creator><creator>Yanming Sun</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200612</creationdate><title>Applying Data Mining and Petri Net in Reengineering of Manufacture Management Information System</title><author>Shaoqin Wu ; Chaoan Lai ; Yanming Sun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-b451eb1069476ab5edd98e03018edf862a6d3223aa3dbb03134fae0c7ba0c1083</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Business process re-engineering</topic><topic>Data mining</topic><topic>Enterprise resource planning</topic><topic>Information systems</topic><topic>Management information systems</topic><topic>Manufacturing processes</topic><topic>Optimization methods</topic><topic>Petri nets</topic><topic>Pulp manufacturing</topic><topic>Reengineering</topic><topic>Standardization</topic><topic>XML</topic><toplevel>online_resources</toplevel><creatorcontrib>Shaoqin Wu</creatorcontrib><creatorcontrib>Chaoan Lai</creatorcontrib><creatorcontrib>Yanming Sun</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 Electronic Library (IEL)</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>Shaoqin Wu</au><au>Chaoan Lai</au><au>Yanming Sun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Applying Data Mining and Petri Net in Reengineering of Manufacture Management Information System</atitle><btitle>2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06)</btitle><stitle>APSCC</stitle><date>2006-12</date><risdate>2006</risdate><spage>200</spage><epage>206</epage><pages>200-206</pages><isbn>9780769527512</isbn><isbn>0769527515</isbn><abstract>This paper studied association rules mining algorithm for mining process model in workflow log of manufacture management information system with XML technology, applied Petri net in modelling, simulation and optimization of process model, and studied the method for reengineering and optimization of information system based on function units in terms of optimized process model, it was pointed that the difference between actual process model and the process model implied in information system would lead to the decrease of efficiency of information system, and the reengineering and optimization of information system based on actual optimized process model would lead to improvement of efficiency. 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ispartof | 2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06), 2006, p.200-206 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Business process re-engineering Data mining Enterprise resource planning Information systems Management information systems Manufacturing processes Optimization methods Petri nets Pulp manufacturing Reengineering Standardization XML |
title | Applying Data Mining and Petri Net in Reengineering of Manufacture Management Information System |
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