{"id":475920,"date":"2023-08-09T07:24:43","date_gmt":"2023-08-09T07:24:43","guid":{"rendered":""},"modified":"2023-09-05T11:11:34","modified_gmt":"2023-09-05T11:11:34","slug":"association-rule-learning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/kr\/wiki\/association-rule-learning\/","title":{"rendered":"\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5"},"content":{"rendered":"<p>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc740 \ub370\uc774\ud130 \ub9c8\uc774\ub2dd\uc744 \ud65c\uc6a9\ud558\uc5ec \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc138\ud2b8\uc758 \ud56d\ubaa9 \uc9d1\ud569 \uc0ac\uc774\uc5d0\uc11c \ud765\ubbf8\ub85c\uc6b4 \uad00\uacc4, \uc989 &#039;\uc5f0\uad00&#039;\uc744 \ubc1c\uacac\ud558\ub294 \uae30\uacc4 \ud559\uc2b5 \uae30\uc220\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc9c0\uc2dd \uae30\ubc18 \uc811\uadfc \ubc29\uc2dd\uc740 \uc7a5\ubc14\uad6c\ub2c8 \ubd84\uc11d, \uc6f9 \uc0ac\uc6a9\ub7c9 \ub9c8\uc774\ub2dd, \uce68\uc785 \ud0d0\uc9c0, \uc9c0\uc18d\uc801\uc778 \uc0dd\uc0b0 \ub4f1 \ub2e4\uc591\ud55c \ub370\uc774\ud130 \uae30\ubc18 \ubd84\uc57c\uc758 \uae30\ubcf8 \ub3c4\uad6c\uc785\ub2c8\ub2e4.<\/p>\n<h2>\uacfc\uac70\ub85c\uc758 \uc5ec\ud589: \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc758 \uc2dc\uc791<\/h2>\n<p>\ub370\uc774\ud130 \ub9c8\uc774\ub2dd \uae30\uc220\uc778 \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc740 \uc8fc\ub85c \uc18c\ub9e4 \uc5c5\uacc4\uc5d0\uc11c\uc758 \uc131\uacf5\uc801\uc778 \uad6c\ud604\uc73c\ub85c \uc778\ud574 1990\ub144\ub300 \uc911\ubc18\uc5d0 \uc778\uc815\uc744 \ubc1b\uc558\uc2b5\ub2c8\ub2e4. \uc5f0\uad00 \uaddc\uce59\uc744 \uc0dd\uc131\ud558\uae30 \uc704\ud55c \ucd5c\ucd08\uc758 \uc720\uba85\ud55c \uc54c\uace0\ub9ac\uc998\uc740 1994\ub144 Rakesh Agrawal\uacfc Ramakrishnan Srikant\uac00 \uc81c\uc2dc\ud55c &#039;Apriori Algorithm&#039;\uc774\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \uc5f0\uad6c\ub294 \ubc29\ub300\ud55c \uc591\uc758 \ud310\ub9e4 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \uad6c\ub9e4 \ud328\ud134\uc744 \uc778\uc2dd\ud558\ub824\ub294 \uc2dc\ub3c4\uc5d0\uc11c \ub098\ud0c0\ub0ac\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc5d0 \ub300\ud55c \uc2ec\uce35 \ubd84\uc11d<\/h2>\n<p>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc740 \ub300\uaddc\ubaa8 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \uc788\ub294 \ud56d\ubaa9 \uc9d1\ud569 \uac04\uc758 \ud765\ubbf8\ub85c\uc6b4 \uc5f0\uad00 \ub610\ub294 \uc0c1\uad00 \uad00\uacc4\ub97c \ucc3e\ub294 \uac83\uc744 \ubaa9\ud45c\ub85c \ud558\ub294 \uaddc\uce59 \uae30\ubc18 \uae30\uacc4 \ud559\uc2b5 \uae30\uc220\uc785\ub2c8\ub2e4. \ubc1c\uacac\ub41c \uaddc\uce59\uc740 \uc885\uc885 &quot;if-then&quot; \ubb38\uc73c\ub85c \ud45c\ud604\ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \uace0\uac1d\uc774 \ube75\uacfc \ubc84\ud130\ub97c \uad6c\ub9e4\ud558\uba74(\uc120\ud589) \uc6b0\uc720\ub97c \uad6c\ub9e4\ud560 \uac00\ub2a5\uc131\uc774 \ub192\uc2b5\ub2c8\ub2e4(\uacb0\uacfc). \uc5ec\uae30\uc11c\ub294 &quot;\ube75\uacfc \ubc84\ud130&quot;\uc640 &quot;\uc6b0\uc720&quot;\uac00 \ud56d\ubaa9 \uc9d1\ud569\uc785\ub2c8\ub2e4.<\/p>\n<p>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc5d0\uc11c \uaddc\uce59 \ud3c9\uac00\ub97c \uc704\ud55c \ub450 \uac00\uc9c0 \uae30\ubcf8 \uce21\uc815\uac12\uc740 &#039;\uc9c0\uc9c0&#039;\uc640 &#039;\uc2e0\ub8b0&#039;\uc785\ub2c8\ub2e4. &#039;\uc9c0\uc9c0\ub3c4&#039;\ub294 \ud56d\ubaa9 \uc9d1\ud569\uc758 \ubc1c\uc0dd \ube48\ub3c4\ub97c \uce21\uc815\ud558\ub294 \ubc18\uba74, &#039;\uc2e0\ub8b0\ub3c4&#039;\ub294 \uc120\ud589 \ud56d\ubaa9\uc5d0 \ub530\ub978 \uacb0\uacfc \ubc1c\uc0dd \ud56d\ubaa9\uc758 \ud655\ub960\uc744 \ubc18\uc601\ud569\ub2c8\ub2e4. \ub610 \ub2e4\ub978 \ucc99\ub3c4\uc778 &#039;lift&#039;\ub294 \uc120\ud589\ucc28 \ub9e4\uac01 \uc2dc \ud6c4\uc18d\ucc28 \ub9e4\uac01 \ube44\uc728 \uc99d\uac00\uc5d0 \ub300\ud55c \uc815\ubcf4\ub97c \uc81c\uacf5\ud560 \uc218 \uc788\ub2e4.<\/p>\n<h2>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc758 \ud574\ubd80\ud559<\/h2>\n<p>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc740 \uc138 \uac00\uc9c0 \uc8fc\uc694 \ub2e8\uacc4\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\ud56d\ubaa9 \uc9d1\ud569 \uc0dd\uc131: \uc790\uc8fc \ud568\uaed8 \ubc1c\uc0dd\ud558\ub294 \ud56d\ubaa9 \ub610\ub294 \uc774\ubca4\ud2b8\uc758 \uc9d1\ud569\uc744 \uc2dd\ubcc4\ud569\ub2c8\ub2e4.<\/li>\n<li>\uaddc\uce59 \uc0dd\uc131: \uc774\ub7ec\ud55c \ud56d\ubaa9 \uc9d1\ud569\uc5d0\uc11c \uc5f0\uad00 \uaddc\uce59\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/li>\n<li>\uaddc\uce59 \uac00\uc9c0\uce58\uae30(Rule pruning): \uc9c0\uc6d0, \uc2e0\ub8b0\ub3c4, \ub9ac\ud504\ud2b8 \ub4f1\uc758 \uce21\uc815\uac12\uc744 \uae30\ubc18\uc73c\ub85c \uc720\uc6a9\ud558\uc9c0 \uc54a\uc744 \uac83 \uac19\uc740 \uaddc\uce59\uc744 \uc81c\uac70\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n<p>\ube48\ubc1c \ud56d\ubaa9 \uc9d1\ud569\uc758 \ud558\uc704 \uc9d1\ud569\ub3c4 \ube48\ubc1c\ud574\uc57c \ud55c\ub2e4\ub294 Apriori \uc6d0\ub9ac\ub294 \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc758 \uae30\ucd08\ub97c \ud615\uc131\ud569\ub2c8\ub2e4. \uc774 \uc6d0\uce59\uc740 \uac00\ub2a5\uc131\uc774 \ub0ae\uc740 \uc5f0\uad00\uc131\uc744 \uc81c\uac70\ud558\uc5ec \uacc4\uc0b0 \ube44\uc6a9\uc744 \uc904\uc774\ub294 \ub370 \uc911\ucd94\uc801\uc778 \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.<\/p>\n<h2>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc758 \uc8fc\uc694 \ud2b9\uc9d5<\/h2>\n<p>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc758 \uba87 \uac00\uc9c0 \uc815\uc758 \ud2b9\uc131\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\uac10\ub3c5\ub418\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4. \uc0ac\uc804 \uc815\ubcf4\ub098 \ub808\uc774\ube14\uc774 \uc9c0\uc815\ub41c \ub370\uc774\ud130\uac00 \ud544\uc694\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/li>\n<li>\ud655\uc7a5\uc131: \ub300\uaddc\ubaa8 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li>\uc720\uc5f0\uc131: \ub2e4\uc591\ud55c \ubd84\uc57c\uc640 \ubd80\ubb38\uc5d0 \uac78\uccd0 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li>\uc228\uaca8\uc9c4 \ud328\ud134 \ubc1c\uacac: \uc989\uac01\uc801\uc73c\ub85c \ub4dc\ub7ec\ub098\uc9c0 \uc54a\uc744 \uc218 \uc788\ub294 \uc5f0\uad00\uc131\uacfc \uc0c1\uad00 \uad00\uacc4\ub97c \ubc1d\ud790 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5 \uc720\ud615<\/h2>\n<p>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5 \uc54c\uace0\ub9ac\uc998\uc740 \ud06c\uac8c \ub450 \uac00\uc9c0 \uc720\ud615\uc73c\ub85c \ubd84\ub958\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li><strong>1\ucc28\uc6d0 \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5<\/strong>: \uc774 \uc720\ud615\uc5d0\uc11c\ub294 \uc5f0\uad00 \uaddc\uce59\uc758 \uc120\ud589 \ubc0f \ud6c4\ud589\uc774 \ud56d\ubaa9 \uc9d1\ud569\uc785\ub2c8\ub2e4. \uc774\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \uc2dc\uc7a5\ubc14\uad6c\ub2c8 \ubd84\uc11d\uc5d0 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n<li><strong>\ub2e4\ucc28\uc6d0 \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5<\/strong>: \uc5ec\uae30\uc11c \uaddc\uce59\uc5d0\ub294 \ub370\uc774\ud130\uc758 \ub2e4\uc591\ud55c \ucc28\uc6d0\uc774\ub098 \uc18d\uc131\uc744 \uae30\ubc18\uc73c\ub85c \ud558\ub294 \uc870\uac74\uc774 \ud3ec\ud568\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uc720\ud615\uc740 \uad00\uacc4\ud615 \ub370\uc774\ud130\ubca0\uc774\uc2a4\uc5d0 \uc790\uc8fc \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n<\/ol>\n<p>\ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \uba87 \uac00\uc9c0 \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5 \uc54c\uace0\ub9ac\uc998\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<table>\n<thead>\n<tr>\n<th>\uc5f0\uc0b0<\/th>\n<th>\uc124\uba85<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\uc120\ud5d8\uc801\uc73c\ub85c<\/td>\n<td>\ub108\ube44 \uc6b0\uc120 \uac80\uc0c9 \uc804\ub7b5\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud6c4\ubcf4 \ud56d\ubaa9 \uc9d1\ud569\uc744 \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>FP-\uc131\uc7a5<\/td>\n<td>\ubd84\ud560 \uc815\ubcf5 \uc811\uadfc \ubc29\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ubca0\uc774\uc2a4\ub97c FP-\ud2b8\ub9ac\ub85c \uc54c\ub824\uc9c4 \uc555\ucd95\ub418\uace0 \ubcf4\ub2e4 \ucef4\ud329\ud2b8\ud55c \uad6c\uc870\ub85c \uc555\ucd95\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>\uba85\uc131<\/td>\n<td>Apriori \uc54c\uace0\ub9ac\uc998\uc758 \uae30\uc874 \ub108\ube44 \uc6b0\uc120 \uc811\uadfc \ubc29\uc2dd \ub300\uc2e0 \uae4a\uc774 \uc6b0\uc120 \uac80\uc0c9 \uc804\ub7b5\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\ud65c\uc6a9 \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5: \uc0ac\uc6a9\ubc95, \uacfc\uc81c \ubc0f \uc194\ub8e8\uc158<\/h2>\n<p>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc740 \ub2e4\uc74c\uc744 \ud3ec\ud568\ud55c \ub2e4\uc591\ud55c \uc601\uc5ed\uc5d0 \uc801\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<ul>\n<li><strong>\ub9c8\ucf00\ud305<\/strong>: \uc81c\ud488 \uc5f0\uad00\uc131\uc744 \ud30c\uc545\ud558\uace0 \ub9c8\ucf00\ud305 \uc804\ub7b5\uc744 \uac1c\uc120\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uc6f9 \uc0ac\uc6a9\ub7c9 \ub9c8\uc774\ub2dd<\/strong>: \uc0ac\uc6a9\uc790 \ud589\ub3d9\uc744 \ud30c\uc545\ud558\uace0 \uc6f9\uc0ac\uc774\ud2b8 \ub808\uc774\uc544\uc6c3\uc744 \uac1c\uc120\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uc758\ud559\uc801 \uc9c4\ub2e8<\/strong>: \ud658\uc790\uc758 \ud2b9\uc131\uacfc \uc9c8\ubcd1\uc758 \uc5f0\uad00\uc131\uc744 \ucc3e\ub294\ub2e4.<\/li>\n<\/ul>\n<p>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc740 \uc0c1\ub2f9\ud55c \uc774\uc810\uc744 \uc81c\uacf5\ud558\uc9c0\ub9cc \ub2e4\uc74c\uacfc \uac19\uc740 \ubb38\uc81c\uc5d0 \uc9c1\uba74\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li><strong>\ub2e4\uc218\uc758 \uc0dd\uc131\ub41c \uaddc\uce59<\/strong>: \ub300\uaddc\ubaa8 \ub370\uc774\ud130\ubca0\uc774\uc2a4\uc758 \uacbd\uc6b0 \uc555\ub3c4\uc801\uc778 \uc218\uc758 \uaddc\uce59\uc774 \uc0dd\uc131\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc9c0\uc6d0 \ubc0f \uc2e0\ub8b0 \uc784\uacc4\uac12\uc744 \ub192\uc774\uac70\ub098 \uaddc\uce59 \uc0dd\uc131 \uc911\uc5d0 \uc81c\uc57d \uc870\uac74\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc644\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\uaddc\uce59 \ud574\uc11d\uc758 \uc5b4\ub824\uc6c0<\/strong>: \uc0dd\uc131\ub41c \uaddc\uce59\uc740 \uc5f0\uad00\uc131\uc744 \ub098\ud0c0\ub0bc \uc218 \uc788\uc9c0\ub9cc \ubc18\ub4dc\uc2dc \uc778\uacfc\uad00\uacc4\ub97c \uc554\uc2dc\ud558\uc9c0\ub294 \uc54a\uc2b5\ub2c8\ub2e4. \uc8fc\uc758 \uae4a\uc740 \ud574\uc11d\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>\uc720\uc0ac\ud55c \uae30\uc220\uacfc\uc758 \ube44\uad50<\/h2>\n<p>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc740 \ub2e4\ub978 \uae30\uacc4 \ud559\uc2b5 \ubc0f \ub370\uc774\ud130 \ub9c8\uc774\ub2dd \uae30\uc220\uacfc \uc77c\ubd80 \uc720\uc0ac\uc810\uc744 \uacf5\uc720\ud558\uc9c0\ub9cc \ub69c\ub837\ud55c \ucc28\uc774\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<table>\n<thead>\n<tr>\n<th>\uae30\uc220<\/th>\n<th>\uc124\uba85<\/th>\n<th>\uc720\uc0ac\uc810<\/th>\n<th>\ucc28\uc774\uc810<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5<\/strong><\/td>\n<td>\ud56d\ubaa9 \uc9d1\ud569 \uac04\uc758 \ube48\ubc88\ud55c \ud328\ud134, \uc5f0\uad00\uc131 \ub610\ub294 \uc0c1\uad00 \uad00\uacc4\ub97c \ucc3e\uc2b5\ub2c8\ub2e4.<\/td>\n<td>\ub300\uaddc\ubaa8 \ub370\uc774\ud130 \uc138\ud2b8\ub85c \uc791\uc5c5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uac10\ub3c5\ub418\uc9c0 \uc54a\uc740<\/td>\n<td>\ubaa9\ud45c\uac12\uc744 \uc608\uce21\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td><strong>\ubd84\ub958<\/strong><\/td>\n<td>\ubc94\uc8fc\ud615 \ub77c\ubca8\uc744 \uc608\uce21\ud569\ub2c8\ub2e4.<\/td>\n<td>\ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc138\ud2b8 \uc791\uc5c5 \uac00\ub2a5<\/td>\n<td>\uac10\ub3c5\ub428; \ubaa9\ud45c\uac12\uc744 \uc608\uce21\ud569\ub2c8\ub2e4<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud074\ub7ec\uc2a4\ud130\ub9c1<\/strong><\/td>\n<td>\ud2b9\uc131\uc5d0 \ub530\ub77c \uc720\uc0ac\ud55c \uc778\uc2a4\ud134\uc2a4\ub97c \uadf8\ub8f9\ud654\ud569\ub2c8\ub2e4.<\/td>\n<td>\uac10\ub3c5\ub418\uc9c0 \uc54a\uc74c; \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc138\ud2b8 \uc791\uc5c5 \uac00\ub2a5<\/td>\n<td>\uaddc\uce59\uc744 \uc2dd\ubcc4\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4. \ub2e8\uc9c0 \ub370\uc774\ud130\ub97c \ud074\ub7ec\uc2a4\ud130\ub9c1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc758 \ubbf8\ub798<\/h2>\n<p>\ub370\uc774\ud130\uc758 \uc591\uacfc \ubcf5\uc7a1\uc131\uc774 \uacc4\uc18d \uc99d\uac00\ud568\uc5d0 \ub530\ub77c \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc758 \ubbf8\ub798\ub294 \uc720\ub9dd\ud574 \ubcf4\uc785\ub2c8\ub2e4. \ubd84\uc0b0 \ucef4\ud4e8\ud305 \ubc0f \ubcd1\ub82c \ucc98\ub9ac\uc758 \ubc1c\uc804\uc73c\ub85c \ub300\uaddc\ubaa8 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc744 \uc704\ud55c \ucc98\ub9ac \uc2dc\uac04\uc774 \uac00\uc18d\ud654\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub610\ud55c \uc778\uacf5 \uc9c0\ub2a5\uacfc \uae30\uacc4 \ud559\uc2b5\uc758 \ubc1c\uc804\uc73c\ub85c \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uad6c\uc870\uc640 \uc720\ud615\uc744 \ucc98\ub9ac\ud560 \uc218 \uc788\ub294 \ub354\uc6b1 \uc815\uad50\ud558\uace0 \ubbf8\ubb18\ud55c \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5 \uc54c\uace0\ub9ac\uc998\uc774 \ud0c4\uc0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5 \ubc0f \ud504\ub85d\uc2dc \uc11c\ubc84<\/h2>\n<p>\ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ub2e4\uc591\ud55c \uc6f9\uc0ac\uc774\ud2b8\uc5d0\uc11c \uc0ac\uc6a9\uc790 \ud589\ub3d9 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uace0 \uc9d1\uacc4\ud558\ub294 \ub370 \uc0ac\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ub370\uc774\ud130\ub294 \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5\uc744 \ud1b5\ud574 \ucc98\ub9ac\ub418\uc5b4 \uc0ac\uc6a9\uc790 \ud589\ub3d9 \ud328\ud134\uc744 \uc774\ud574\ud558\uace0 \uc11c\ube44\uc2a4 \uac1c\uc120 \ubc0f \ubcf4\uc548 \uac15\ud654\uac00 \uac00\ub2a5\ud569\ub2c8\ub2e4. \ub610\ud55c \ud504\ub85d\uc2dc\ub294 \ub370\uc774\ud130 \uc218\uc9d1\uc744 \uc775\uba85\ud654\ud558\uc5ec \uac1c\uc778\uc815\ubcf4 \ubcf4\ud638 \ubc0f \uc724\ub9ac \uc900\uc218\ub97c \ubcf4\uc7a5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\uad00\ub828\ub41c \ub9c1\ud06c\ub4e4<\/h2>\n<p>Association Rule Learning\uc5d0 \ub300\ud574 \ub354 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uace0 \uc2f6\uc740 \ubd84\ub4e4\uc744 \uc704\ud574 \ub2e4\uc74c\uacfc \uac19\uc740 \uc720\uc6a9\ud55c \ub9ac\uc18c\uc2a4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.kdnuggets.com\/2020\/01\/association-rule-mining.html\" target=\"_new\" rel=\"noopener nofollow\">\uc5f0\uad00 \uaddc\uce59 \ub9c8\uc774\ub2dd \uc18c\uac1c<\/a><\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/understanding-association-rule-mining-with-examples-1f907e8157a1\" target=\"_new\" rel=\"noopener nofollow\">\uc608\uc81c\ub97c \ud1b5\ud55c \uc5f0\uad00 \uaddc\uce59 \ud559\uc2b5 \uc774\ud574<\/a><\/li>\n<li><a href=\"https:\/\/www.geeksforgeeks.org\/frequent-pattern-growth-algorithm-in-data-mining\/\" target=\"_new\" rel=\"noopener nofollow\">\ub370\uc774\ud130 \ub9c8\uc774\ub2dd\uc758 FP(\ube48\ubc88\ud55c \ud328\ud134) \uc99d\uac00 \uc54c\uace0\ub9ac\uc998<\/a><\/li>\n<li><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10462-018-9646-1\" target=\"_new\" rel=\"noopener nofollow\">\uc5f0\uad00 \uaddc\uce59 \ub9c8\uc774\ub2dd\uc5d0 \ub300\ud55c \uc870\uc0ac<\/a><\/li>\n<\/ul>","protected":false},"featured_media":467648,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-475920","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Association Rule Learning: Unleashing the Power of Data Mining<\/mark>","faq_items":[{"question":"What is Association Rule Learning?","answer":"<p>Association Rule Learning is a machine learning method that discovers interesting relationships, or 'associations', among a set of items in large datasets. This technique is widely used in various data-driven domains such as market basket analysis, web usage mining, intrusion detection, and continuous production.<\/p>"},{"question":"When was Association Rule Learning first introduced?","answer":"<p>Association Rule Learning was first recognized in the mid-1990s, with the creation of the 'Apriori Algorithm' by Rakesh Agrawal and Ramakrishnan Srikant in 1994. This algorithm was initially developed to find purchasing patterns by analyzing large amounts of sales data.<\/p>"},{"question":"How does Association Rule Learning work?","answer":"<p>Association Rule Learning works in three primary steps: generating itemsets, creating association rules from these itemsets, and pruning unlikely rules based on measures like support, confidence, and lift. The rules discovered are often expressed as \"if-then\" statements.<\/p>"},{"question":"What are the key features of Association Rule Learning?","answer":"<p>Key features of Association Rule Learning include its unsupervised nature, scalability, flexibility, and its ability to discover hidden patterns in large datasets.<\/p>"},{"question":"What are the types of Association Rule Learning?","answer":"<p>Association Rule Learning algorithms can be broadly classified into two types: Single-dimensional association rule learning and Multidimensional association rule learning. Single-dimensional association rule learning is commonly used in market basket analysis, while Multidimensional association rule learning is often employed in relational databases.<\/p>"},{"question":"How is Association Rule Learning used?","answer":"<p>Association Rule Learning is used in various areas such as marketing to identify product associations, in web usage mining to identify user behavior, and in medical diagnosis to find associations between patient characteristics and diseases.<\/p>"},{"question":"What are the future perspectives related to Association Rule Learning?","answer":"<p>As data continues to grow in volume and complexity, the future of Association Rule Learning looks promising. Advances in distributed computing and parallel processing, as well as developments in artificial intelligence and machine learning, can lead to more sophisticated and nuanced Association Rule Learning algorithms.<\/p>"},{"question":"How can proxy servers be associated with Association Rule Learning?","answer":"<p>Proxy servers can gather and aggregate user behavior data across different websites. This data can be processed using Association Rule Learning to understand user behavior patterns, improve service, and enhance security. Furthermore, proxies can anonymize data collection, ensuring privacy and ethical compliance.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/475920","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/475920\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media\/467648"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media?parent=475920"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}