{"id":6261,"date":"2025-05-06T19:55:41","date_gmt":"2025-05-06T11:55:41","guid":{"rendered":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=6261"},"modified":"2025-05-06T19:59:23","modified_gmt":"2025-05-06T11:59:23","slug":"12-%e9%a0%90%e6%b8%ac%e6%80%a7%e6%a8%a1%e5%9e%8b-cm512-2025-02","status":"publish","type":"page","link":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=6261","title":{"rendered":"12. \u9810\u6e2c\u6027\u6a21\u578b (CM512 2025.02)"},"content":{"rendered":"
\u55ae\u5143\u5927\u7db1\uff1a<\/b><\/h5>\n
\u25c6 \u671f\u672b\u8cc7\u6599\u500b\u6848\u7af6\u8cfd\uff1a\u884c\u92b7\u4f01\u5283<\/h5>\n
\u25a1 \u6a21\u578b\u3001\u9810\u6e2c\u3001\u5047\u8a2d\u3001\u6a21\u64ec\u3001\u512a\u5316<\/h5>\n
\u25c6 \u9810\u6e2c\u6027\u6a21\u578b<\/h5>\n
\u25a1 \u8cc7\u6599\u6574\u7406\u8207\u5207\u5272<\/h5>\n
\u25a1 \u6a5f\u7387\u6a21\u578b\uff1a\u4f30\u8a08\u56de\u8cfc\u6a5f\u7387<\/h5>\n
\u25a1 \u6578\u503c\u6a21\u578b\uff1a\u4f30\u8a08\u8cfc\u8cb7\u91d1\u984d<\/h5>\n
\u25a1 \u6a21\u578b\u6e96\u78ba\u6027<\/h5>\n
\u25a1 \u9810\u6e2c\u9867\u5ba2\u884c\u70ba<\/h5>\n
\u25c6 \u9867\u5ba2\u50f9\u503c\u7ba1\u7406<\/h5>\n
\u25a1 \u9867\u5ba2\u7d42\u751f\u50f9\u503c (CLV – customer lifetime value)<\/h5>\n
\u25a1 \u9867\u5ba2\u7ba1\u7406\uff1a\u9078\u64c7\u6027\u5438\u6536\u3001\u767c\u5c55\u3001\u4fdd\u7559<\/h5>\n
\u25a1 \u91dd\u5c0d\u6027\u884c\u92b7<\/h5>\n
\n
\u8ab2\u5802\u7b46\u8a18<\/b>\uff1a<\/b><\/h5>\n
\u25c6 \u8ab2\u5802\u7b46\u8a18\uff1atafeng567\/5_Split \u8cc7\u6599\u5f59\u6574\u8207\u5207\u5272 ( ~\/tafeng\/5_Split.html<\/a> )<\/h5>\n
\u25c6 \u8ab2\u5802\u7b46\u8a18\uff1atafeng567\/6_Model \u6a21\u578b\u8207\u9810\u6e2c ( ~\/tafeng\/6_Model.html<\/a> )<\/h5>\n
\u25c6 \u8ab2\u5802\u7b46\u8a18\uff1atafeng567\/7_Simulation \u5047\u8a2d\u8207\u6a21\u64ec ( ~\/tafeng\/7_Simulation.html<\/a> )<\/h5>\n
\n
\u7b2c\u5341\u4e8c\u55ae\u5143 \u6559\u6750\u4e0b\u8f09\uff1a<\/b><\/span><\/h5>\n
\u25c6 \u6559\u6750\u8cc7\u6599\u593e ( ~\/1132cm512\/<\/a> )<\/span><\/h6>\n
\u25c6 Unit12\u55ae\u5143\u8cc7\u6599\u593e ( ~\/1132cm512\/12\u9810\u6e2c\u6027\u6a21\u578b\/<\/a> )<\/span><\/h6>\n
\u25c7 13\u9810\u6e2c\u6027\u6a21\u578b.pptx<\/span><\/h6>\n
\u25c7 tafeng567.zip<\/span><\/h6>\n
\n
\u7b2c\u5341\u4e8c\u5468\u4f5c\u696d\uff1aDue Date\uff1a05\/18 (\u65e5) 23:59<\/b><\/h5>\n
\u25c6\u5c0f\u7d44\u4f5c\u696d\uff1a<\/h5>\n
\u25a1 \u5229\u7528 tafeng \u6a94\u6848\u593e\u88e1\u9762\u7684\u53c3\u8003\u7a0b\u5f0f\uff0c\u958b\u59cb\u6e96\u5099\u671f\u672b\u5831\u544a<\/h5>\n
\u25a1 \u5beb\u4e00\u4efd\u7a0b\u5f0f\u7b46\u8a18\uff0c\u7528\u6a21\u578b\u4f30\u8a08\u9867\u5ba2\u7684\u56de\u8cfc\u6a5f\u7387\u548c\u9810\u671f\u8cfc\u8cb7\u91d1\u984d\uff0c\u4e26\u4f30\u7b97\u4ed6\u5011\u7684\u7d42\u751f\u50f9\u503c(CLV)<\/h5>\n
\u25a1 \u5c07HTML\u4ee5\u6a94\u540d\u00a0 “G#_TF_CLV.html” \u4e0a\u50b3\u5230\u3010 ~\/\u5c0f\u7d44\u4f5c\u696d\/<\/a>group#\/ \u3011<\/h5>\n
\n
\u5f71\u7247\u9023\u7d50\uff1a<\/b><\/h5>\n
\u25c6 \u7b2c\u5341\u4e8c\u55ae\u5143 \u4e0a\u8ab2\u9304\u5f71<\/h5>\n
\n
\u53c3\u8003\u9023\u7d50\uff1a<\/b><\/h5>\n
\u25c6\u00a0ggpubr: Publication Ready Plots (URL<\/a>)<\/h5>\n
\u25c6\u00a0Introduction to Probability and Statistics Using R (URL<\/a>)<\/h5>\n
\u25c6\u00a0From Data to Vis (URL<\/a>)<\/h5>\n
\u25c6\u00a0Quick-R: Multidimensional Scaling (URL<\/a>)<\/h5>\n
\u25c6\u00a0NMDS (Non-metric MDS) Tutorial in R (URL<\/a>)<\/h5>\n
\u25c6\u00a0GapMider (URL<\/a>)<\/h5>\n
\u25c6\u00a0Cluster Analysis in R: Practical Guide (URL<\/a>)<\/h5>\n
\u25c6\u00a0Principal Component Methods in R: Practical Guide (URL<\/a>)<\/h5>\n
\u25c6\u00a0Accelerated Introduction to Statistical Methods:
\nBootstrap Example<\/a>, Dept. Statistics, University of Wisconsin-Madison<\/h5>\n
\u25c6\u00a0Statistical Inference Week-4: Power, Bootstrapping, & Permutation Tests<\/a>, John Hopkins University<\/h5>\n
\u25c6\u00a0Choosing Statistical Test<\/a>, Inst. of Digital Research & Education, UCLA<\/h5>\n
\u25c6\u00a0\u00a0\u4e2d\u5c71\u7ba1\u9662\u5927\u6578\u64da\u5e73\u53f0 \u5165\u53e3\u7db2\u7ad9<\/a><\/h5>\n
\u25c6\u00a0\u00a0R\uff1a\u8cc7\u6599\u5206\u6790\u8207\u57fa\u790e\u7d71\u8a08 \u7dda\u4e0a\u8ab2\u7a0b\u81ea\u5b78\u5730\u5716<\/a><\/h5>\n
\u25c6\u00a0 John Hopkins: R Programming \u7dda\u4e0a\u8ab2\u7a0b<\/a><\/h5>\n
\u25c6\u00a0\u00a0John Hopkins: R Programming eBook<\/a><\/h5>\n
\u25c6\u00a0\u00a0Harvard: Data Science \u7dda\u4e0a\u8ab2\u7a0b<\/a><\/h5>\n
\u25c6\u00a0 Harvard: Data Science \u8ab2\u5802\u7b46\u8a18<\/a><\/h5>\n
\n","protected":false},"excerpt":{"rendered":"

\u55ae\u5143\u5927\u7db1\uff1a \u25c6 \u671f\u672b\u8cc7\u6599\u500b\u6848\u7af6\u8cfd\uff1a\u884c\u92b7\u4f01\u5283 \u25a1 \u6a21\u578b\u3001\u9810\u6e2c\u3001\u5047\u8a2d\u3001\u6a21\u64ec\u3001\u512a\u5316 \u25c6 \u9810\u6e2c\u6027\u6a21\u578b \u25a1 \u8cc7\u6599\u6574\u7406\u8207\u5207\u5272 \u25a1 \u6a5f\u7387\u6a21\u578b\uff1a\u4f30\u8a08\u56de\u8cfc\u6a5f\u7387 \u25a1 \u6578\u503c\u6a21\u578b\uff1a\u4f30\u8a08\u8cfc\u8cb7\u91d1\u984d \u25a1 \u6a21\u578b\u6e96\u78ba\u6027 \u25a1 \u9810\u6e2c\u9867\u5ba2\u884c\u70ba \u25c6 \u9867\u5ba2\u50f9\u503c\u7ba1\u7406 \u25a1 \u9867\u5ba2\u7d42\u751f\u50f9\u503c (CLV – customer lifetime value) \u25a1 \u9867\u5ba2\u7ba1\u7406\uff1a\u9078\u64c7\u6027\u5438\u6536\u3001\u767c\u5c55\u3001\u4fdd\u7559 \u25a1 \u91dd\u5c0d\u6027\u884c\u92b7 \u8ab2\u5802\u7b46\u8a18\uff1a \u25c6 \u8ab2\u5802\u7b46\u8a18\uff1atafeng567\/5_Split \u8cc7\u6599\u5f59\u6574\u8207\u5207\u5272 ( ~\/tafeng\/5_Split.html ) \u25c6 \u8ab2\u5802\u7b46\u8a18\uff1atafeng567\/6_Model \u6a21\u578b\u8207\u9810\u6e2c ( ~\/tafeng\/6_Model.html ) \u25c6 \u8ab2\u5802\u7b46\u8a18\uff1atafeng567\/7_Simulation \u5047\u8a2d\u8207\u6a21\u64ec ( ~\/tafeng\/7_Simulation.html ) \u7b2c\u5341\u4e8c\u55ae\u5143 \u6559\u6750\u4e0b\u8f09\uff1a \u25c6 \u6559\u6750\u8cc7\u6599\u593e ( ~\/1132cm512\/ ) \u25c6 Unit12\u55ae\u5143\u8cc7\u6599\u593e ( ~\/1132cm512\/12\u9810\u6e2c\u6027\u6a21\u578b\/ ) \u25c7 13\u9810\u6e2c\u6027\u6a21\u578b.pptx \u25c7 tafeng567.zip \u7b2c\u5341\u4e8c\u5468\u4f5c\u696d\uff1aDue Date\uff1a05\/18 (\u65e5) 23:59 \u25c6\u5c0f\u7d44\u4f5c\u696d\uff1a \u25a1 \u5229\u7528 tafeng \u6a94\u6848\u593e\u88e1\u9762\u7684\u53c3\u8003\u7a0b\u5f0f\uff0c\u958b\u59cb\u6e96\u5099\u671f\u672b\u5831\u544a \u25a1 \u5beb\u4e00\u4efd\u7a0b\u5f0f\u7b46\u8a18\uff0c\u7528\u6a21\u578b\u4f30\u8a08\u9867\u5ba2\u7684\u56de\u8cfc\u6a5f\u7387\u548c\u9810\u671f\u8cfc\u8cb7\u91d1\u984d\uff0c\u4e26\u4f30\u7b97\u4ed6\u5011\u7684\u7d42\u751f\u50f9\u503c(CLV) \u25a1 \u5c07HTML\u4ee5\u6a94\u540d\u00a0 “G#_TF_CLV.html” \u4e0a\u50b3\u5230\u3010 ~\/\u5c0f\u7d44\u4f5c\u696d\/group#\/ \u3011 \u5f71\u7247\u9023\u7d50\uff1a \u25c6 \u7b2c\u5341\u4e8c\u55ae\u5143 \u4e0a\u8ab2\u9304\u5f71 \u53c3\u8003\u9023\u7d50\uff1a \u25c6\u00a0ggpubr: Publication Ready Plots (URL) \u25c6\u00a0Introduction to Probability and Statistics Using R (URL) \u25c6\u00a0From Data to Vis (URL) \u25c6\u00a0Quick-R: Multidimensional Scaling (URL) \u25c6\u00a0NMDS (Non-metric MDS) Tutorial in R (URL) \u25c6\u00a0GapMider (URL) \u25c6\u00a0Cluster Analysis in R: Practical Guide (URL) \u25c6\u00a0Principal Component Methods in R: Practical Guide (URL) \u25c6\u00a0Accelerated Introduction to Statistical Methods: Bootstrap Example, Dept. Statistics, University of Wisconsin-Madison \u25c6\u00a0Statistical Inference Week-4: Power, Bootstrapping, & Permutation Tests, John Hopkins University \u25c6\u00a0Choosing Statistical Test, Inst. of Digital Research & Education, UCLA \u25c6\u00a0\u00a0\u4e2d\u5c71\u7ba1\u9662\u5927\u6578\u64da\u5e73\u53f0 \u5165\u53e3\u7db2\u7ad9 \u25c6\u00a0\u00a0R\uff1a\u8cc7\u6599\u5206\u6790\u8207\u57fa\u790e\u7d71\u8a08 \u7dda\u4e0a\u8ab2\u7a0b\u81ea\u5b78\u5730\u5716 \u25c6\u00a0 John Hopkins: R Programming \u7dda\u4e0a\u8ab2\u7a0b \u25c6\u00a0\u00a0John Hopkins: R Programming eBook \u25c6\u00a0\u00a0Harvard: Data Science \u7dda\u4e0a\u8ab2\u7a0b \u25c6\u00a0 Harvard: Data Science \u8ab2\u5802\u7b46\u8a18<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-6261","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/6261","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6261"}],"version-history":[{"count":4,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/6261\/revisions"}],"predecessor-version":[{"id":6265,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/6261\/revisions\/6265"}],"wp:attachment":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6261"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}