{"id":477838,"date":"2023-08-09T09:21:11","date_gmt":"2023-08-09T09:21:11","guid":{"rendered":""},"modified":"2023-09-05T11:15:33","modified_gmt":"2023-09-05T11:15:33","slug":"link-prediction","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/link-prediction\/","title":{"rendered":"D\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft"},"content":{"rendered":"<p>Th\u00f4ng tin t\u00f3m t\u1eaft v\u1ec1 D\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft<\/p>\n<p>D\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft l\u00e0 m\u1ed9t k\u1ef9 thu\u1eadt quan tr\u1ecdng trong l\u0129nh v\u1ef1c khoa h\u1ecdc m\u1ea1ng li\u00ean quan \u0111\u1ebfn vi\u1ec7c d\u1ef1 \u0111o\u00e1n c\u00e1c k\u1ebft n\u1ed1i trong t\u01b0\u01a1ng lai gi\u1eefa c\u00e1c n\u00fat trong m\u1ea1ng. Ph\u01b0\u01a1ng ph\u00e1p n\u00e0y \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng r\u1ed9ng r\u00e3i trong m\u1ea1ng x\u00e3 h\u1ed9i, m\u1ea1ng sinh h\u1ecdc, m\u1ea1ng giao th\u00f4ng v\u00e0 trang web. N\u00f3 kh\u00f4ng ch\u1ec9 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 hi\u1ec3u c\u1ea5u tr\u00fac v\u1ed1n c\u00f3 c\u1ee7a m\u1ea1ng m\u00e0 c\u00f2n \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n c\u00e1c m\u1ed1i quan h\u1ec7 trong t\u01b0\u01a1ng lai, \u0111\u1ec1 xu\u1ea5t s\u1ea3n ph\u1ea9m v\u00e0 x\u00e1c \u0111\u1ecbnh c\u00e1c li\u00ean k\u1ebft c\u00f2n thi\u1ebfu.<\/p>\n<h2>L\u1ecbch s\u1eed ngu\u1ed3n g\u1ed1c c\u1ee7a d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft v\u00e0 s\u1ef1 \u0111\u1ec1 c\u1eadp \u0111\u1ea7u ti\u00ean v\u1ec1 n\u00f3<\/h2>\n<p>L\u1ecbch s\u1eed c\u1ee7a d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft b\u1eaft ngu\u1ed3n t\u1eeb nh\u1eefng nghi\u00ean c\u1ee9u ban \u0111\u1ea7u v\u1ec1 l\u00fd thuy\u1ebft \u0111\u1ed3 th\u1ecb v\u00e0o cu\u1ed1i th\u1ebf k\u1ef7 20. K\u1ef9 thu\u1eadt n\u00e0y b\u1eaft \u0111\u1ea7u n\u1ed5i b\u1eadt v\u1edbi s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a m\u1ea1ng x\u00e3 h\u1ed9i tr\u1ef1c tuy\u1ebfn v\u00e0 n\u1ec1n t\u1ea3ng th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed. Nghi\u00ean c\u1ee9u c\u00f3 h\u1ec7 th\u1ed1ng \u0111\u1ea7u ti\u00ean v\u1ec1 d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n b\u1edfi Liben-Nowell v\u00e0 Kleinberg v\u00e0o n\u0103m 2003, n\u01a1i h\u1ecd ph\u00e2n t\u00edch m\u1ea1ng l\u01b0\u1edbi \u0111\u1ed3ng t\u00e1c gi\u1ea3 \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n s\u1ef1 h\u1ee3p t\u00e1c trong t\u01b0\u01a1ng lai.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 D\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft: M\u1edf r\u1ed9ng D\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft ch\u1ee7 \u0111\u1ec1<\/h2>\n<p>D\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft t\u1eadp trung v\u00e0o vi\u1ec7c d\u1ef1 \u0111o\u00e1n ho\u1eb7c x\u00e1c \u0111\u1ecbnh c\u00e1c c\u1ea1nh ti\u1ec1m n\u0103ng trong m\u1ea1ng c\u00f3 th\u1ec3 x\u1ea3y ra trong t\u01b0\u01a1ng lai ho\u1eb7c c\u00f3 th\u1ec3 b\u1ecb thi\u1ebfu do d\u1eef li\u1ec7u kh\u00f4ng \u0111\u1ea7y \u0111\u1ee7. Qu\u00e1 tr\u00ecnh n\u00e0y bao g\u1ed3m c\u00e1c giai \u0111o\u1ea1n sau:<\/p>\n<ol>\n<li><strong>Khai th\u00e1c t\u00ednh n\u0103ng<\/strong>: Tr\u00edch xu\u1ea5t c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m t\u00f4p\u00f4 kh\u00e1c nhau c\u00f3 th\u1ec3 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn s\u1ef1 h\u00ecnh th\u00e0nh li\u00ean k\u1ebft.<\/li>\n<li><strong>X\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh<\/strong>: T\u1ea1o m\u00f4 h\u00ecnh d\u1ef1a tr\u00ean c\u00e1c k\u1ef9 thu\u1eadt kh\u00e1c nhau, bao g\u1ed3m c\u00e1c ph\u01b0\u01a1ng ph\u00e1p d\u1ef1a tr\u00ean s\u1ef1 t\u01b0\u01a1ng \u0111\u1ed3ng, m\u00f4 h\u00ecnh x\u00e1c su\u1ea5t v\u00e0 thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y.<\/li>\n<li><strong>S\u1ef1 \u0111\u00e1nh gi\u00e1<\/strong>: \u0110\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh d\u1ef1 \u0111o\u00e1n b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00e1c s\u1ed1 li\u1ec7u nh\u01b0 \u0111\u1ed9 ch\u00ednh x\u00e1c, m\u1ee9c thu h\u1ed3i v\u00e0 di\u1ec7n t\u00edch d\u01b0\u1edbi \u0111\u01b0\u1eddng cong ROC (AUC).<\/li>\n<\/ol>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft: C\u00e1ch ho\u1ea1t \u0111\u1ed9ng c\u1ee7a d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft<\/h2>\n<p>Ho\u1ea1t \u0111\u1ed9ng d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft bao g\u1ed3m m\u1ed9t s\u1ed1 b\u01b0\u1edbc c\u01a1 b\u1ea3n:<\/p>\n<ol>\n<li><strong>Thu th\u1eadp d\u1eef li\u1ec7u<\/strong>: Thu th\u1eadp d\u1eef li\u1ec7u m\u1ea1ng c\u00f3 ch\u1ee9a c\u00e1c n\u00fat v\u00e0 c\u1ea1nh.<\/li>\n<li><strong>S\u01a1 ch\u1ebf<\/strong>: L\u00e0m s\u1ea1ch v\u00e0 c\u1ea5u tr\u00fac d\u1eef li\u1ec7u.<\/li>\n<li><strong>K\u1ef9 thu\u1eadt t\u00ednh n\u0103ng<\/strong>: X\u00e1c \u0111\u1ecbnh c\u00e1c thu\u1ed9c t\u00ednh thi\u1ebft y\u1ebfu c\u00f3 th\u1ec3 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn s\u1ef1 h\u00ecnh th\u00e0nh li\u00ean k\u1ebft.<\/li>\n<li><strong>\u0110\u00e0o t\u1ea1o ng\u01b0\u1eddi m\u1eabu<\/strong>: S\u1eed d\u1ee5ng c\u00e1c thu\u1eadt to\u00e1n nh\u01b0 Common Neighbors, Adamic-Adar v\u00e0 Random Forests \u0111\u1ec3 t\u1ea1o m\u00f4 h\u00ecnh d\u1ef1 \u0111o\u00e1n.<\/li>\n<li><strong>D\u1ef1 \u0111o\u00e1n &amp; X\u00e1c th\u1ef1c<\/strong>: \u0110\u01b0a ra d\u1ef1 \u0111o\u00e1n v\u1ec1 d\u1eef li\u1ec7u ch\u01b0a nh\u00ecn th\u1ea5y v\u00e0 x\u00e1c nh\u1eadn k\u1ebft qu\u1ea3.<\/li>\n<\/ol>\n<h2>Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft<\/h2>\n<ul>\n<li><strong>Kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng<\/strong>: Kh\u1ea3 n\u0103ng x\u1eed l\u00fd m\u1ea1ng l\u1edbn m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.<\/li>\n<li><strong>S\u1ef1 ch\u00ednh x\u00e1c<\/strong>: \u0110\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a c\u00e1c li\u00ean k\u1ebft \u0111\u01b0\u1ee3c d\u1ef1 \u0111o\u00e1n.<\/li>\n<li><strong>D\u1ef1 \u0111o\u00e1n th\u1eddi gian th\u1ef1c<\/strong>: Kh\u1ea3 n\u0103ng d\u1ef1 \u0111o\u00e1n c\u00e1c li\u00ean k\u1ebft trong th\u1eddi gian th\u1ef1c.<\/li>\n<li><strong>Kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng<\/strong>: T\u00ednh linh ho\u1ea1t \u0111\u1ec3 th\u00edch \u1ee9ng v\u1edbi c\u00e1c lo\u1ea1i m\u1ea1ng kh\u00e1c nhau.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft: Danh m\u1ee5c v\u00e0 ph\u01b0\u01a1ng ph\u00e1p<\/h2>\n<p>C\u00f3 nhi\u1ec1u ph\u01b0\u01a1ng ph\u00e1p kh\u00e1c nhau \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft, th\u01b0\u1eddng \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i nh\u01b0 sau:<\/p>\n<table>\n<thead>\n<tr>\n<th>Lo\u1ea1i<\/th>\n<th>ph\u01b0\u01a1ng ph\u00e1p<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Ph\u01b0\u01a1ng ph\u00e1p d\u1ef1a tr\u00ean s\u1ef1 t\u01b0\u01a1ng \u0111\u1ed3ng<\/td>\n<td>H\u00e0ng x\u00f3m chung, H\u1ec7 s\u1ed1 Jaccard<\/td>\n<\/tr>\n<tr>\n<td>M\u00f4 h\u00ecnh x\u00e1c su\u1ea5t<\/td>\n<td>M\u00f4 h\u00ecnh kh\u1ed1i ng\u1eabu nhi\u00ean, ph\u00e2n t\u00edch Bayesian<\/td>\n<\/tr>\n<tr>\n<td>M\u00f4 h\u00ecnh h\u1ecdc m\u00e1y<\/td>\n<td>R\u1eebng ng\u1eabu nhi\u00ean, M\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng D\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft, c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng<\/h2>\n<ul>\n<li><strong>C\u00e1ch s\u1eed d\u1ee5ng<\/strong>: Khuy\u1ebfn ngh\u1ecb, Ph\u00e1t hi\u1ec7n gian l\u1eadn, Nghi\u00ean c\u1ee9u sinh h\u1ecdc.<\/li>\n<li><strong>C\u00e1c v\u1ea5n \u0111\u1ec1<\/strong>: Trang b\u1ecb qu\u00e1 m\u1ee9c, V\u1ea5n \u0111\u1ec1 v\u1ec1 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng, M\u1ea5t c\u00e2n b\u1eb1ng d\u1eef li\u1ec7u.<\/li>\n<li><strong>C\u00e1c gi\u1ea3i ph\u00e1p<\/strong>: K\u1ef9 thu\u1eadt ch\u00ednh quy h\u00f3a, X\u1eed l\u00fd song song, T\u1ea1o d\u1eef li\u1ec7u t\u1ed5ng h\u1ee3p.<\/li>\n<\/ul>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 nh\u1eefng so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0111\u1eb7c tr\u01b0ng<\/th>\n<th>D\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft<\/th>\n<th>C\u00e1c k\u1ef9 thu\u1eadt li\u00ean quan (v\u00ed d\u1ee5: L\u1ecdc c\u1ed9ng t\u00e1c)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Tr\u1ecdng t\u00e2m ch\u00ednh<\/td>\n<td>C\u1ea5u tr\u00fac m\u1ea1ng<\/td>\n<td>S\u1edf th\u00edch c\u1ee7a ng\u01b0\u1eddi s\u1eed d\u1ee5ng<\/td>\n<\/tr>\n<tr>\n<td>\u0110\u1ed9 ph\u1ee9c t\u1ea1p t\u00ednh to\u00e1n<\/td>\n<td>V\u1eeba ph\u1ea3i<\/td>\n<td>Cao<\/td>\n<\/tr>\n<tr>\n<td>S\u1ef1 ch\u00ednh x\u00e1c<\/td>\n<td>Kh\u00e1c nhau<\/td>\n<td>Kh\u00e1c nhau<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft<\/h2>\n<p>T\u01b0\u01a1ng lai c\u1ee7a d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft n\u1eb1m \u1edf vi\u1ec7c t\u00edch h\u1ee3p n\u00f3 v\u1edbi deep learning, \u0111i\u1ec7n to\u00e1n l\u01b0\u1ee3ng t\u1eed v\u00e0 c\u00e1c c\u00f4ng ngh\u1ec7 m\u1edbi n\u1ed5i kh\u00e1c. D\u1ef1 \u0111o\u00e1n th\u1eddi gian th\u1ef1c, m\u1ea1ng \u0111\u1ed9ng v\u00e0 \u1ee9ng d\u1ee5ng \u0111a mi\u1ec1n \u0111\u01b0\u1ee3c coi l\u00e0 h\u01b0\u1edbng \u0111i trong t\u01b0\u01a1ng lai.<\/p>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft<\/h2>\n<p>C\u00e1c m\u00e1y ch\u1ee7 proxy gi\u1ed1ng nh\u01b0 c\u00e1c m\u00e1y ch\u1ee7 do OneProxy cung c\u1ea5p c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft b\u1eb1ng c\u00e1ch cho ph\u00e9p thu th\u1eadp d\u1eef li\u1ec7u \u1ea9n danh v\u00e0 an to\u00e0n t\u1eeb nhi\u1ec1u m\u1ea1ng kh\u00e1c nhau. Ch\u00fang \u0111\u1ea3m b\u1ea3o \u0111\u1ed9 tin c\u1eady v\u00e0 hi\u1ec7u qu\u1ea3 trong vi\u1ec7c thu th\u1eadp d\u1eef li\u1ec7u th\u1eddi gian th\u1ef1c, \u0111\u00e2y l\u00e0 m\u1ed9t b\u01b0\u1edbc quan tr\u1ecdng trong quy tr\u00ecnh d\u1ef1 \u0111o\u00e1n li\u00ean k\u1ebft.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ul>\n<li><a href=\"https:\/\/example.com\/link1\" target=\"_new\" rel=\"noopener nofollow\">B\u00e0i vi\u1ebft c\u1ee7a Liben-Nowell v\u00e0 Kleinberg v\u1ec1 D\u1ef1 \u0111o\u00e1n Li\u00ean k\u1ebft<\/a><\/li>\n<li><a href=\"https:\/\/example.com\/link2\" target=\"_new\" rel=\"noopener nofollow\">Gi\u1edbi thi\u1ec7u v\u1ec1 l\u00fd thuy\u1ebft \u0111\u1ed3 th\u1ecb<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/vn\/\" target=\"_new\" rel=\"noopener\">Trang web c\u1ee7a OneProxy<\/a> \u0111\u1ec3 bi\u1ebft th\u00eam v\u1ec1 m\u00e1y ch\u1ee7 proxy.<\/li>\n<\/ul>","protected":false},"featured_media":468785,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477838","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Link Prediction: An Extensive Overview<\/mark>","faq_items":[{"question":"What is link prediction?","answer":"<p>Link prediction is a method used to anticipate future connections between nodes within a network. It is widely applied in areas like social networks, biological networks, and e-commerce for predicting future relationships, recommending products, and identifying missing links.<\/p>"},{"question":"When did the study of link prediction begin?","answer":"<p>The systematic study of link prediction began in the early 21st century, with significant research conducted by Liben-Nowell and Kleinberg in 2003. They were among the first to analyze co-authorship networks to predict future collaboration.<\/p>"},{"question":"How does link prediction work?","answer":"<p>Link prediction involves various stages, such as data collection, preprocessing, feature engineering, model training, and prediction &amp; validation. It utilizes different algorithms and methods to predict potential edges in a network that might occur in the future or might be missing from incomplete data.<\/p>"},{"question":"What are the key features of link prediction?","answer":"<p>The key features of link prediction include scalability to handle large networks, accuracy in predicting links, the capability to predict links in real-time, and adaptability to various types of networks.<\/p>"},{"question":"What types of link prediction methods exist?","answer":"<p>Link prediction methods can be categorized into Similarity-Based Methods (e.g., Common Neighbors), Probabilistic Models (e.g., Stochastic Block Model), and Machine Learning Models (e.g., Random Forest, Neural Networks).<\/p>"},{"question":"How can link prediction be used, and what are some common problems?","answer":"<p>Link prediction can be used in recommendations, fraud detection, and biological research. Common problems include overfitting, scalability issues, and data imbalance, with solutions like regularization techniques, parallel processing, and synthetic data generation.<\/p>"},{"question":"How are proxy servers associated with link prediction?","answer":"<p>Proxy servers, such as those provided by OneProxy, can aid in link prediction by enabling secure and anonymous data collection from different networks. They ensure reliability and efficiency in gathering real-time data, a crucial aspect of the link prediction process.<\/p>"},{"question":"What are the future prospects of link prediction?","answer":"<p>The future of link prediction includes integration with emerging technologies like deep learning and quantum computing. Real-time prediction, dynamic networks, and cross-domain applications are seen as significant future avenues in this field.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477838","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\/477838\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468785"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=477838"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}