{"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\/vn\/wiki\/association-rule-learning\/","title":{"rendered":"H\u1ecdc quy t\u1eafc hi\u1ec7p h\u1ed9i"},"content":{"rendered":"<p>H\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p l\u00e0 m\u1ed9t k\u1ef9 thu\u1eadt h\u1ecdc m\u00e1y t\u1eadn d\u1ee5ng vi\u1ec7c khai th\u00e1c d\u1eef li\u1ec7u \u0111\u1ec3 kh\u00e1m ph\u00e1 c\u00e1c m\u1ed1i quan h\u1ec7 th\u00fa v\u1ecb ho\u1eb7c &#039;li\u00ean k\u1ebft&#039; gi\u1eefa m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c m\u1ee5c trong b\u1ed9 d\u1eef li\u1ec7u l\u1edbn. C\u00e1ch ti\u1ebfp c\u1eadn d\u1ef1a tr\u00ean ki\u1ebfn th\u1ee9c n\u00e0y l\u00e0 m\u1ed9t c\u00f4ng c\u1ee5 c\u01a1 b\u1ea3n trong c\u00e1c l\u0129nh v\u1ef1c d\u1ef1a tr\u00ean d\u1eef li\u1ec7u kh\u00e1c nhau, ch\u1eb3ng h\u1ea1n nh\u01b0 ph\u00e2n t\u00edch gi\u1ecf h\u00e0ng th\u1ecb tr\u01b0\u1eddng, khai th\u00e1c s\u1eed d\u1ee5ng web, ph\u00e1t hi\u1ec7n x\u00e2m nh\u1eadp v\u00e0 s\u1ea3n xu\u1ea5t li\u00ean t\u1ee5c.<\/p>\n<h2>H\u00e0nh tr\u00ecnh v\u1ec1 qu\u00e1 kh\u1ee9: S\u1ef1 kh\u1edfi \u0111\u1ea7u c\u1ee7a vi\u1ec7c h\u1ecdc quy t\u1eafc hi\u1ec7p h\u1ed9i<\/h2>\n<p>H\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p, nh\u01b0 m\u1ed9t k\u1ef9 thu\u1eadt khai th\u00e1c d\u1eef li\u1ec7u, \u0111\u00e3 \u0111\u01b0\u1ee3c c\u00f4ng nh\u1eadn v\u00e0o gi\u1eefa nh\u1eefng n\u0103m 1990, ch\u1ee7 y\u1ebfu nh\u1edd tri\u1ec3n khai th\u00e0nh c\u00f4ng trong ng\u00e0nh b\u00e1n l\u1ebb. Thu\u1eadt to\u00e1n n\u1ed5i b\u1eadt \u0111\u1ea7u ti\u00ean \u0111\u1ec3 t\u1ea1o ra c\u00e1c quy t\u1eafc k\u1ebft h\u1ee3p l\u00e0 &#039;Thu\u1eadt to\u00e1n Apriori&#039;, do Rakesh Agrawal v\u00e0 Ramakrishnan Srikant tr\u00ecnh b\u00e0y v\u00e0o n\u0103m 1994. Nghi\u00ean c\u1ee9u n\u00e0y xu\u1ea5t ph\u00e1t t\u1eeb n\u1ed7 l\u1ef1c nh\u1eadn ra c\u00e1c m\u00f4 h\u00ecnh mua h\u00e0ng b\u1eb1ng c\u00e1ch ph\u00e2n t\u00edch l\u01b0\u1ee3ng l\u1edbn d\u1eef li\u1ec7u b\u00e1n h\u00e0ng.<\/p>\n<h2>\u0110i s\u00e2u v\u00e0o vi\u1ec7c h\u1ecdc quy t\u1eafc hi\u1ec7p h\u1ed9i<\/h2>\n<p>H\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p l\u00e0 m\u1ed9t k\u1ef9 thu\u1eadt h\u1ecdc m\u00e1y d\u1ef1a tr\u00ean quy t\u1eafc nh\u1eb1m t\u00ecm ki\u1ebfm c\u00e1c m\u1ed1i li\u00ean k\u1ebft ho\u1eb7c m\u1ed1i t\u01b0\u01a1ng quan h\u1ea5p d\u1eabn gi\u1eefa m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c m\u1ee5c trong b\u1ed9 d\u1eef li\u1ec7u l\u1edbn. C\u00e1c quy t\u1eafc \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n th\u01b0\u1eddng \u0111\u01b0\u1ee3c th\u1ec3 hi\u1ec7n d\u01b0\u1edbi d\u1ea1ng c\u00e2u l\u1ec7nh \u201cn\u1ebfu-th\u00ec\u201d. V\u00ed d\u1ee5: n\u1ebfu kh\u00e1ch h\u00e0ng mua b\u00e1nh m\u00ec v\u00e0 b\u01a1 (tr\u01b0\u1edbc \u0111\u00f3), th\u00ec h\u1ecd c\u00f3 kh\u1ea3 n\u0103ng mua s\u1eefa (k\u1ebft qu\u1ea3). \u1ede \u0111\u00e2y, \u201cb\u00e1nh m\u00ec v\u00e0 b\u01a1\u201d v\u00e0 \u201cs\u1eefa\u201d l\u00e0 c\u00e1c t\u1eadp m\u1ee5c.<\/p>\n<p>Hai bi\u1ec7n ph\u00e1p ch\u00ednh \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 quy t\u1eafc trong vi\u1ec7c h\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p l\u00e0 &#039;h\u1ed7 tr\u1ee3&#039; v\u00e0 &#039;\u0111\u1ed9 tin c\u1eady&#039;. &#039;H\u1ed7 tr\u1ee3&#039; \u0111o l\u01b0\u1eddng t\u1ea7n su\u1ea5t xu\u1ea5t hi\u1ec7n c\u1ee7a m\u1ed9t t\u1eadp m\u1ee5c, trong khi &#039;\u0111\u1ed9 tin c\u1eady&#039; ph\u1ea3n \u00e1nh x\u00e1c su\u1ea5t c\u1ee7a c\u00e1c m\u1ee5c trong h\u1ec7 qu\u1ea3 x\u1ea3y ra v\u1edbi ti\u1ec1n \u0111\u1ec1. M\u1ed9t bi\u1ec7n ph\u00e1p kh\u00e1c, &#039;\u0111\u1ed9 n\u00e2ng&#039;, c\u00f3 th\u1ec3 cung c\u1ea5p th\u00f4ng tin v\u1ec1 s\u1ef1 gia t\u0103ng t\u1ef7 l\u1ec7 b\u00e1n k\u1ebft qu\u1ea3 khi b\u00e1n ti\u1ec1n \u0111\u1ec1.<\/p>\n<h2>C\u1ea5u tr\u00fac c\u1ee7a vi\u1ec7c h\u1ecdc quy t\u1eafc hi\u1ec7p h\u1ed9i<\/h2>\n<p>H\u1ecdc lu\u1eadt k\u1ebft h\u1ee3p bao g\u1ed3m ba b\u01b0\u1edbc ch\u00ednh:<\/p>\n<ol>\n<li>T\u1ea1o t\u1eadp m\u1ee5c: X\u00e1c \u0111\u1ecbnh t\u1eadp h\u1ee3p c\u00e1c m\u1ee5c ho\u1eb7c s\u1ef1 ki\u1ec7n x\u1ea3y ra th\u01b0\u1eddng xuy\u00ean c\u00f9ng nhau.<\/li>\n<li>T\u1ea1o quy t\u1eafc: T\u1ea1o quy t\u1eafc k\u1ebft h\u1ee3p t\u1eeb c\u00e1c t\u1eadp m\u1ee5c n\u00e0y.<\/li>\n<li>C\u1eaft b\u1edbt quy t\u1eafc: Lo\u1ea1i b\u1ecf c\u00e1c quy t\u1eafc kh\u00f4ng c\u00f3 kh\u1ea3 n\u0103ng h\u1eefu \u00edch d\u1ef1a tr\u00ean c\u00e1c bi\u1ec7n ph\u00e1p nh\u01b0 m\u1ee9c h\u1ed7 tr\u1ee3, \u0111\u1ed9 tin c\u1eady v\u00e0 m\u1ee9c t\u0103ng.<\/li>\n<\/ol>\n<p>Nguy\u00ean t\u1eafc Apriori, trong \u0111\u00f3 g\u1ee3i \u00fd r\u1eb1ng m\u1ed9t t\u1eadp h\u1ee3p con c\u1ee7a t\u1eadp ph\u1ed5 bi\u1ebfn c\u0169ng ph\u1ea3i ph\u1ed5 bi\u1ebfn, t\u1ea1o th\u00e0nh n\u1ec1n t\u1ea3ng c\u1ee7a vi\u1ec7c h\u1ecdc lu\u1eadt k\u1ebft h\u1ee3p. Nguy\u00ean t\u1eafc n\u00e0y \u0111\u00f3ng vai tr\u00f2 then ch\u1ed1t trong vi\u1ec7c gi\u1ea3m chi ph\u00ed t\u00ednh to\u00e1n b\u1eb1ng c\u00e1ch lo\u1ea1i b\u1ecf c\u00e1c m\u1ed1i li\u00ean h\u1ec7 kh\u00f3 c\u00f3 th\u1ec3 x\u1ea3y ra.<\/p>\n<h2>C\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a vi\u1ec7c h\u1ecdc quy t\u1eafc hi\u1ec7p h\u1ed9i<\/h2>\n<p>M\u1ed9t s\u1ed1 \u0111\u1eb7c \u0111i\u1ec3m x\u00e1c \u0111\u1ecbnh c\u1ee7a vi\u1ec7c h\u1ecdc lu\u1eadt k\u1ebft h\u1ee3p l\u00e0:<\/p>\n<ul>\n<li>N\u00f3 kh\u00f4ng \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t: Kh\u00f4ng c\u1ea7n th\u00f4ng tin tr\u01b0\u1edbc ho\u1eb7c d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n.<\/li>\n<li>Kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng: C\u00f3 th\u1ec3 x\u1eed l\u00fd c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn.<\/li>\n<li>T\u00ednh linh ho\u1ea1t: C\u00f3 th\u1ec3 \u00e1p d\u1ee5ng tr\u00ean nhi\u1ec1u l\u0129nh v\u1ef1c, l\u0129nh v\u1ef1c kh\u00e1c nhau.<\/li>\n<li>Kh\u00e1m ph\u00e1 c\u00e1c m\u00f4 h\u00ecnh \u1ea9n: N\u00f3 c\u00f3 th\u1ec3 ti\u1ebft l\u1ed9 c\u00e1c m\u1ed1i li\u00ean h\u1ec7 v\u00e0 m\u1ed1i t\u01b0\u01a1ng quan c\u00f3 th\u1ec3 kh\u00f4ng r\u00f5 r\u00e0ng ngay l\u1eadp t\u1ee9c.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i h\u00ecnh h\u1ecdc t\u1eadp quy t\u1eafc hi\u1ec7p h\u1ed9i<\/h2>\n<p>C\u00e1c thu\u1eadt to\u00e1n h\u1ecdc lu\u1eadt k\u1ebft h\u1ee3p c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i th\u00e0nh hai lo\u1ea1i:<\/p>\n<ol>\n<li><strong>H\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p m\u1ed9t chi\u1ec1u<\/strong>: Trong lo\u1ea1i n\u00e0y, ti\u1ec1n \u0111\u1ec1 v\u00e0 h\u1ec7 qu\u1ea3 c\u1ee7a quy t\u1eafc k\u1ebft h\u1ee3p l\u00e0 c\u00e1c t\u1eadp m\u1ee5c. N\u00f3 th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong ph\u00e2n t\u00edch gi\u1ecf th\u1ecb tr\u01b0\u1eddng.<\/li>\n<li><strong>H\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p \u0111a chi\u1ec1u<\/strong>: \u1ede \u0111\u00e2y, c\u00e1c quy t\u1eafc c\u00f3 th\u1ec3 ch\u1ee9a c\u00e1c \u0111i\u1ec1u ki\u1ec7n d\u1ef1a tr\u00ean c\u00e1c th\u1ee9 nguy\u00ean ho\u1eb7c thu\u1ed9c t\u00ednh kh\u00e1c nhau c\u1ee7a d\u1eef li\u1ec7u. Lo\u1ea1i n\u00e0y th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong c\u01a1 s\u1edf d\u1eef li\u1ec7u quan h\u1ec7.<\/li>\n<\/ol>\n<p>M\u1ed9t s\u1ed1 thu\u1eadt to\u00e1n h\u1ecdc lu\u1eadt k\u1ebft h\u1ee3p \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i l\u00e0:<\/p>\n<table>\n<thead>\n<tr>\n<th>Thu\u1eadt to\u00e1n<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Apriori<\/td>\n<td>S\u1eed d\u1ee5ng chi\u1ebfn l\u01b0\u1ee3c t\u00ecm ki\u1ebfm theo chi\u1ec1u r\u1ed9ng \u0111\u1ec3 t\u00ednh to\u00e1n c\u00e1c t\u1eadp m\u1ee5c \u1ee9ng vi\u00ean.<\/td>\n<\/tr>\n<tr>\n<td>T\u0103ng tr\u01b0\u1edfng FP<\/td>\n<td>S\u1eed d\u1ee5ng ph\u01b0\u01a1ng ph\u00e1p ph\u00e2n chia v\u00e0 chinh ph\u1ee5c \u0111\u1ec3 n\u00e9n c\u01a1 s\u1edf d\u1eef li\u1ec7u th\u00e0nh m\u1ed9t c\u1ea5u tr\u00fac c\u00f4 \u0111\u1ecdng, nh\u1ecf g\u1ecdn h\u01a1n \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 c\u00e2y FP.<\/td>\n<\/tr>\n<tr>\n<td>ECLAT<\/td>\n<td>S\u1eed d\u1ee5ng chi\u1ebfn l\u01b0\u1ee3c t\u00ecm ki\u1ebfm theo chi\u1ec1u s\u00e2u thay v\u00ec c\u00e1ch ti\u1ebfp c\u1eadn theo chi\u1ec1u r\u1ed9ng truy\u1ec1n th\u1ed1ng c\u1ee7a thu\u1eadt to\u00e1n Apriori.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Khai th\u00e1c vi\u1ec7c h\u1ecdc quy t\u1eafc c\u1ee7a hi\u1ec7p h\u1ed9i: C\u00e1ch s\u1eed d\u1ee5ng, th\u00e1ch th\u1ee9c v\u00e0 gi\u1ea3i ph\u00e1p<\/h2>\n<p>H\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p t\u00ecm th\u1ea5y \u1ee9ng d\u1ee5ng trong c\u00e1c l\u0129nh v\u1ef1c kh\u00e1c nhau bao g\u1ed3m:<\/p>\n<ul>\n<li><strong>Ti\u1ebfp th\u1ecb<\/strong>: X\u00e1c \u0111\u1ecbnh c\u00e1c li\u00ean k\u1ebft s\u1ea3n ph\u1ea9m v\u00e0 c\u1ea3i thi\u1ec7n chi\u1ebfn l\u01b0\u1ee3c ti\u1ebfp th\u1ecb.<\/li>\n<li><strong>Khai th\u00e1c s\u1eed d\u1ee5ng web<\/strong>: X\u00e1c \u0111\u1ecbnh h\u00e0nh vi c\u1ee7a ng\u01b0\u1eddi d\u00f9ng v\u00e0 c\u1ea3i thi\u1ec7n b\u1ed1 c\u1ee5c trang web.<\/li>\n<li><strong>Ch\u1ea9n \u0111o\u00e1n y t\u1ebf<\/strong>: T\u00ecm m\u1ed1i li\u00ean h\u1ec7 gi\u1eefa \u0111\u1eb7c \u0111i\u1ec3m c\u1ee7a b\u1ec7nh nh\u00e2n v\u00e0 b\u1ec7nh t\u1eadt.<\/li>\n<\/ul>\n<p>M\u1eb7c d\u00f9 vi\u1ec7c h\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p mang l\u1ea1i nh\u1eefng l\u1ee3i \u00edch \u0111\u00e1ng k\u1ec3 nh\u01b0ng n\u00f3 c\u00f3 th\u1ec3 ph\u1ea3i \u0111\u1ed1i m\u1eb7t v\u1edbi c\u00e1c v\u1ea5n \u0111\u1ec1 nh\u01b0:<\/p>\n<ul>\n<li><strong>S\u1ed1 l\u01b0\u1ee3ng l\u1edbn c\u00e1c quy t\u1eafc \u0111\u01b0\u1ee3c t\u1ea1o<\/strong>: C\u00f3 th\u1ec3 t\u1ea1o ra s\u1ed1 l\u01b0\u1ee3ng l\u1edbn c\u00e1c quy t\u1eafc cho c\u01a1 s\u1edf d\u1eef li\u1ec7u l\u1edbn. \u0110i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c gi\u1ea3m thi\u1ec3u b\u1eb1ng c\u00e1ch t\u0103ng ng\u01b0\u1ee1ng h\u1ed7 tr\u1ee3 v\u00e0 \u0111\u1ed9 tin c\u1eady ho\u1eb7c s\u1eed d\u1ee5ng c\u00e1c r\u00e0ng bu\u1ed9c trong qu\u00e1 tr\u00ecnh t\u1ea1o quy t\u1eafc.<\/li>\n<li><strong>Kh\u00f3 kh\u0103n trong vi\u1ec7c gi\u1ea3i th\u00edch c\u00e1c quy t\u1eafc<\/strong>: M\u1eb7c d\u00f9 c\u00e1c quy t\u1eafc \u0111\u01b0\u1ee3c t\u1ea1o ra c\u00f3 th\u1ec3 ch\u1ec9 ra m\u1ed1i li\u00ean h\u1ec7 nh\u01b0ng ch\u00fang kh\u00f4ng nh\u1ea5t thi\u1ebft h\u00e0m \u00fd quan h\u1ec7 nh\u00e2n qu\u1ea3. C\u1ea7n ph\u1ea3i gi\u1ea3i th\u00edch c\u1ea9n th\u1eadn.<\/li>\n<\/ul>\n<h2>So s\u00e1nh v\u1edbi c\u00e1c k\u1ef9 thu\u1eadt t\u01b0\u01a1ng t\u1ef1<\/h2>\n<p>M\u1eb7c d\u00f9 vi\u1ec7c h\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p c\u00f3 m\u1ed9t s\u1ed1 \u0111i\u1ec3m t\u01b0\u01a1ng \u0111\u1ed3ng v\u1edbi c\u00e1c k\u1ef9 thu\u1eadt khai th\u00e1c d\u1eef li\u1ec7u v\u00e0 h\u1ecdc m\u00e1y kh\u00e1c, nh\u01b0ng v\u1eabn c\u00f3 nh\u1eefng kh\u00e1c bi\u1ec7t r\u00f5 r\u00e0ng:<\/p>\n<table>\n<thead>\n<tr>\n<th>K\u1ef9 thu\u1eadt<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<th>\u0110i\u1ec3m t\u01b0\u01a1ng \u0111\u1ed3ng<\/th>\n<th>S\u1ef1 kh\u00e1c bi\u1ec7t<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>H\u1ecdc quy t\u1eafc hi\u1ec7p h\u1ed9i<\/strong><\/td>\n<td>T\u00ecm c\u00e1c m\u1eabu, li\u00ean k\u1ebft ho\u1eb7c m\u1ed1i t\u01b0\u01a1ng quan th\u01b0\u1eddng xuy\u00ean gi\u1eefa m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c m\u1ee5c<\/td>\n<td>C\u00f3 th\u1ec3 l\u00e0m vi\u1ec7c v\u1edbi t\u1eadp d\u1eef li\u1ec7u l\u1edbn; kh\u00f4ng \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t<\/td>\n<td>Kh\u00f4ng d\u1ef1 \u0111o\u00e1n gi\u00e1 tr\u1ecb m\u1ee5c ti\u00eau<\/td>\n<\/tr>\n<tr>\n<td><strong>Ph\u00e2n lo\u1ea1i<\/strong><\/td>\n<td>D\u1ef1 \u0111o\u00e1n nh\u00e3n ph\u00e2n lo\u1ea1i<\/td>\n<td>C\u00f3 th\u1ec3 l\u00e0m vi\u1ec7c v\u1edbi t\u1eadp d\u1eef li\u1ec7u l\u1edbn<\/td>\n<td>Gi\u00e1m s\u00e1t; d\u1ef1 \u0111o\u00e1n gi\u00e1 tr\u1ecb m\u1ee5c ti\u00eau<\/td>\n<\/tr>\n<tr>\n<td><strong>Ph\u00e2n c\u1ee5m<\/strong><\/td>\n<td>Nh\u00f3m c\u00e1c tr\u01b0\u1eddng h\u1ee3p t\u01b0\u01a1ng t\u1ef1 d\u1ef1a tr\u00ean \u0111\u1eb7c \u0111i\u1ec3m c\u1ee7a ch\u00fang<\/td>\n<td>Kh\u00f4ng \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t; c\u00f3 th\u1ec3 l\u00e0m vi\u1ec7c v\u1edbi t\u1eadp d\u1eef li\u1ec7u l\u1edbn<\/td>\n<td>Kh\u00f4ng x\u00e1c \u0111\u1ecbnh c\u00e1c quy t\u1eafc; ch\u1ec9 ph\u00e2n c\u1ee5m d\u1eef li\u1ec7u<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>T\u01b0\u01a1ng lai c\u1ee7a vi\u1ec7c h\u1ecdc quy t\u1eafc hi\u1ec7p h\u1ed9i<\/h2>\n<p>Khi d\u1eef li\u1ec7u ti\u1ebfp t\u1ee5c t\u0103ng v\u1ec1 s\u1ed1 l\u01b0\u1ee3ng v\u00e0 \u0111\u1ed9 ph\u1ee9c t\u1ea1p, t\u01b0\u01a1ng lai c\u1ee7a vi\u1ec7c h\u1ecdc lu\u1eadt k\u1ebft h\u1ee3p c\u00f3 v\u1ebb \u0111\u1ea7y h\u1ee9a h\u1eb9n. S\u1ef1 ph\u00e1t tri\u1ec3n trong \u0111i\u1ec7n to\u00e1n ph\u00e2n t\u00e1n v\u00e0 x\u1eed l\u00fd song song c\u00f3 th\u1ec3 \u0111\u1ea9y nhanh th\u1eddi gian x\u1eed l\u00fd vi\u1ec7c h\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p trong c\u00e1c b\u1ed9 d\u1eef li\u1ec7u l\u1edbn h\u01a1n. Ngo\u00e0i ra, nh\u1eefng ti\u1ebfn b\u1ed9 trong tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 h\u1ecdc m\u00e1y c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p ph\u1ee9c t\u1ea1p v\u00e0 nhi\u1ec1u s\u1eafc th\u00e1i h\u01a1n, c\u00f3 th\u1ec3 x\u1eed l\u00fd c\u00e1c lo\u1ea1i v\u00e0 c\u1ea5u tr\u00fac d\u1eef li\u1ec7u ph\u1ee9c t\u1ea1p.<\/p>\n<h2>H\u1ecdc quy t\u1eafc hi\u1ec7p h\u1ed9i v\u00e0 m\u00e1y ch\u1ee7 proxy<\/h2>\n<p>M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 thu th\u1eadp v\u00e0 t\u1ed5ng h\u1ee3p d\u1eef li\u1ec7u h\u00e0nh vi ng\u01b0\u1eddi d\u00f9ng tr\u00ean c\u00e1c trang web kh\u00e1c nhau. D\u1eef li\u1ec7u n\u00e0y c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c x\u1eed l\u00fd b\u1eb1ng c\u00e1ch h\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p \u0111\u1ec3 hi\u1ec3u c\u00e1c m\u1eabu h\u00e0nh vi c\u1ee7a ng\u01b0\u1eddi d\u00f9ng, c\u1ea3i thi\u1ec7n d\u1ecbch v\u1ee5 v\u00e0 t\u0103ng c\u01b0\u1eddng b\u1ea3o m\u1eadt. H\u01a1n n\u1eefa, proxy c\u00f3 th\u1ec3 \u1ea9n danh vi\u1ec7c thu th\u1eadp d\u1eef li\u1ec7u, \u0111\u1ea3m b\u1ea3o quy\u1ec1n ri\u00eang t\u01b0 v\u00e0 tu\u00e2n th\u1ee7 \u0111\u1ea1o \u0111\u1ee9c.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<p>\u0110\u1ed1i v\u1edbi nh\u1eefng ng\u01b0\u1eddi mu\u1ed1n kh\u00e1m ph\u00e1 th\u00eam v\u1ec1 H\u1ecdc quy t\u1eafc hi\u1ec7p h\u1ed9i, \u0111\u00e2y l\u00e0 m\u1ed9t s\u1ed1 t\u00e0i nguy\u00ean h\u1eefu \u00edch:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.kdnuggets.com\/2020\/01\/association-rule-mining.html\" target=\"_new\" rel=\"noopener nofollow\">Gi\u1edbi thi\u1ec7u v\u1ec1 khai th\u00e1c quy t\u1eafc k\u1ebft h\u1ee3p<\/a><\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/understanding-association-rule-mining-with-examples-1f907e8157a1\" target=\"_new\" rel=\"noopener nofollow\">T\u00ecm hi\u1ec3u vi\u1ec7c h\u1ecdc quy t\u1eafc k\u1ebft h\u1ee3p v\u1edbi c\u00e1c v\u00ed d\u1ee5<\/a><\/li>\n<li><a href=\"https:\/\/www.geeksforgeeks.org\/frequent-pattern-growth-algorithm-in-data-mining\/\" target=\"_new\" rel=\"noopener nofollow\">Thu\u1eadt to\u00e1n t\u0103ng tr\u01b0\u1edfng m\u1eabu th\u01b0\u1eddng xuy\u00ean (FP) trong khai th\u00e1c d\u1eef li\u1ec7u<\/a><\/li>\n<li><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10462-018-9646-1\" target=\"_new\" rel=\"noopener nofollow\">Kh\u1ea3o s\u00e1t khai ph\u00e1 lu\u1eadt k\u1ebft h\u1ee3p<\/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\/vn\/wp-json\/wp\/v2\/wiki\/475920","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/475920\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/467648"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=475920"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}