Apply Support Vector Machine for CRM Problem
Data mining in the CRM aiming at learning available knowledge from the customer relationship by machine learning or statistical method to instruct the strategic behavior so that obtain the most profit. In recent years, Support vector machine (SVMs) has been proposed as a power tool in machine leanin...
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creator | Bo Liu Zhi-Feng Hao Jie Lu Shou-Qiang Liu |
description | Data mining in the CRM aiming at learning available knowledge from the customer relationship by machine learning or statistical method to instruct the strategic behavior so that obtain the most profit. In recent years, Support vector machine (SVMs) has been proposed as a power tool in machine leaning and data mining. This paper applies the SVMs to resolve the practical CRM problem in a company. The final results report the good general performance of SVMs for CRM problem. |
doi_str_mv | 10.1109/ICMLC.2007.4370715 |
format | Conference Proceeding |
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The final results report the good general performance of SVMs for CRM problem.</description><subject>CRM</subject><subject>Customer</subject><subject>Customer relationship management</subject><subject>Cybernetics</subject><subject>Data mining</subject><subject>Educational institutions</subject><subject>Machine learning</subject><subject>Machine learning algorithms</subject><subject>Management</subject><subject>Relationship</subject><subject>Risk management</subject><subject>Statistical analysis</subject><subject>Support vector machine</subject><subject>Support vector machine classification</subject><subject>Support vector machines</subject><issn>2160-133X</issn><isbn>1424409721</isbn><isbn>9781424409723</isbn><isbn>9781424409730</isbn><isbn>142440973X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j91KxDAUhCMquK59Ab3pA9juOTlpk1wuxZ-FlhX_8G5J0gQrXVvaerFvb8H1ambgY5hh7BohRQS92hRVWaQcQKaCJEjMTlikpULBhQAtCU7Z5X_geMYWHHNIkOjjgkXj-AUAKHMBnBbsdt337SF--en7bpjid--mbogr4z6bbx-H2RfPVfw0dLb1-yt2Hkw7-uioS_Z2f_daPCbl9mFTrMvEcS6mxBGhIpdbm-vMmWBlsPMEr5yizBpR5wCabFBIqta6VsFwq6xCrWbOBlqym7_exnu_64dmb4bD7niWfgEEAUSY</recordid><startdate>200708</startdate><enddate>200708</enddate><creator>Bo Liu</creator><creator>Zhi-Feng Hao</creator><creator>Jie Lu</creator><creator>Shou-Qiang Liu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200708</creationdate><title>Apply Support Vector Machine for CRM Problem</title><author>Bo Liu ; Zhi-Feng Hao ; Jie Lu ; Shou-Qiang Liu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c224t-c33183c6bb695cafb7fb216e8c835ba4d60093bf8138d99d8fa2b8b8198b21bf3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>CRM</topic><topic>Customer</topic><topic>Customer relationship management</topic><topic>Cybernetics</topic><topic>Data mining</topic><topic>Educational institutions</topic><topic>Machine learning</topic><topic>Machine learning algorithms</topic><topic>Management</topic><topic>Relationship</topic><topic>Risk management</topic><topic>Statistical analysis</topic><topic>Support vector machine</topic><topic>Support vector machine classification</topic><topic>Support vector machines</topic><toplevel>online_resources</toplevel><creatorcontrib>Bo Liu</creatorcontrib><creatorcontrib>Zhi-Feng Hao</creatorcontrib><creatorcontrib>Jie Lu</creatorcontrib><creatorcontrib>Shou-Qiang Liu</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>Bo Liu</au><au>Zhi-Feng Hao</au><au>Jie Lu</au><au>Shou-Qiang Liu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Apply Support Vector Machine for CRM Problem</atitle><btitle>2007 International Conference on Machine Learning and Cybernetics</btitle><stitle>ICMLC</stitle><date>2007-08</date><risdate>2007</risdate><volume>6</volume><spage>3288</spage><epage>3292</epage><pages>3288-3292</pages><issn>2160-133X</issn><isbn>1424409721</isbn><isbn>9781424409723</isbn><eisbn>9781424409730</eisbn><eisbn>142440973X</eisbn><abstract>Data mining in the CRM aiming at learning available knowledge from the customer relationship by machine learning or statistical method to instruct the strategic behavior so that obtain the most profit. 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ispartof | 2007 International Conference on Machine Learning and Cybernetics, 2007, Vol.6, p.3288-3292 |
issn | 2160-133X |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | CRM Customer Customer relationship management Cybernetics Data mining Educational institutions Machine learning Machine learning algorithms Management Relationship Risk management Statistical analysis Support vector machine Support vector machine classification Support vector machines |
title | Apply Support Vector Machine for CRM Problem |
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