{"id":479333,"date":"2023-08-09T10:33:53","date_gmt":"2023-08-09T10:33:53","guid":{"rendered":""},"modified":"2023-09-05T11:18:37","modified_gmt":"2023-09-05T11:18:37","slug":"time-series-snalysis","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/time-series-snalysis\/","title":{"rendered":"Ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian"},"content":{"rendered":"<p>Th\u00f4ng tin t\u00f3m t\u1eaft v\u1ec1 ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian<\/p>\n<p>Ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian l\u00e0 nghi\u00ean c\u1ee9u v\u1ec1 d\u1eef li\u1ec7u c\u00f3 th\u1ee9 t\u1ef1, th\u01b0\u1eddng l\u00e0 d\u1eef li\u1ec7u t\u1ea1m th\u1eddi. N\u00f3 li\u00ean quan \u0111\u1ebfn c\u00e1c k\u1ef9 thu\u1eadt \u0111\u1ec3 tr\u00edch xu\u1ea5t s\u1ed1 li\u1ec7u th\u1ed1ng k\u00ea c\u00f3 \u00fd ngh\u0129a v\u00e0 c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m kh\u00e1c c\u1ee7a d\u1eef li\u1ec7u. Chu\u1ed7i th\u1eddi gian \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong nhi\u1ec1u l\u0129nh v\u1ef1c kh\u00e1c nhau nh\u01b0 kinh t\u1ebf, t\u00e0i ch\u00ednh, y h\u1ecdc v\u00e0 k\u1ef9 thu\u1eadt \u0111\u1ec3 hi\u1ec3u c\u00e1c m\u00f4 h\u00ecnh c\u01a1 b\u1ea3n v\u00e0 d\u1ef1 \u0111o\u00e1n xu h\u01b0\u1edbng trong t\u01b0\u01a1ng lai.<\/p>\n<h2>L\u1ecbch s\u1eed ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian v\u00e0 s\u1ef1 \u0111\u1ec1 c\u1eadp \u0111\u1ea7u ti\u00ean v\u1ec1 n\u00f3<\/h2>\n<p>L\u1ecbch s\u1eed ngu\u1ed3n g\u1ed1c c\u1ee7a ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian b\u1eaft \u0111\u1ea7u t\u1eeb \u0111\u1ea7u nh\u1eefng n\u0103m 1920. Ng\u00e0i Francis Galton v\u00e0 nh\u00e0 to\u00e1n h\u1ecdc Udny Yule \u0111\u00f3ng nh\u1eefng vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c ph\u00e1t tri\u1ec3n ph\u01b0\u01a1ng ph\u00e1p ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian. Kh\u00e1i ni\u1ec7m n\u00e0y \u0111\u00e3 \u0111\u1ea1t \u0111\u01b0\u1ee3c \u0111\u1ed9ng l\u1ef1c nh\u1edd nh\u1eefng ti\u1ebfn b\u1ed9 trong ph\u01b0\u01a1ng ph\u00e1p th\u1ed1ng k\u00ea, bao g\u1ed3m ph\u00e2n t\u00edch h\u1ed3i quy v\u00e0 m\u00f4 h\u00ecnh t\u1ef1 h\u1ed3i quy.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 Ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian. M\u1edf r\u1ed9ng ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian ch\u1ee7 \u0111\u1ec1<\/h2>\n<p>Ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian l\u00e0 nghi\u00ean c\u1ee9u c\u00f3 h\u1ec7 th\u1ed1ng v\u1ec1 c\u00e1c \u0111i\u1ec3m d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c l\u1eadp ch\u1ec9 m\u1ee5c ho\u1eb7c li\u1ec7t k\u00ea theo c\u00e1c kho\u1ea3ng th\u1eddi gian li\u00ean ti\u1ebfp. N\u00f3 k\u1ebft h\u1ee3p nhi\u1ec1u ph\u01b0\u01a1ng ph\u00e1p kh\u00e1c nhau \u0111\u1ec3 di\u1ec5n gi\u1ea3i v\u00e0 d\u1ef1 \u0111o\u00e1n c\u00e1c gi\u00e1 tr\u1ecb trong t\u01b0\u01a1ng lai d\u1ef1a tr\u00ean d\u1eef li\u1ec7u l\u1ecbch s\u1eed.<\/p>\n<h3>C\u00e1c th\u00e0nh ph\u1ea7n ch\u00ednh c\u1ee7a chu\u1ed7i th\u1eddi gian<\/h3>\n<ol>\n<li><strong>Xu h\u01b0\u1edbng:<\/strong> L\u00e0m c\u01a1 s\u1edf cho s\u1ef1 chuy\u1ec3n \u0111\u1ed9ng d\u00e0i h\u1ea1n trong chu\u1ed7i.<\/li>\n<li><strong>T\u00ednh th\u1eddi v\u1ee5:<\/strong> M\u00f4 h\u00ecnh bi\u1ebfn \u0111\u1ed9ng th\u01b0\u1eddng xuy\u00ean l\u1eb7p l\u1ea1i trong c\u00e1c kho\u1ea3ng th\u1eddi gian ti\u00eau chu\u1ea9n.<\/li>\n<li><strong>M\u00f4 h\u00ecnh tu\u1ea7n ho\u00e0n:<\/strong> Bi\u1ebfn \u0111\u1ed9ng kh\u00f4ng c\u00f3 chu k\u1ef3 c\u1ed1 \u0111\u1ecbnh.<\/li>\n<li><strong>Ti\u1ebfng \u1ed3n:<\/strong> C\u00e1c bi\u1ebfn th\u1ec3 ng\u1eabu nhi\u00ean trong chu\u1ed7i.<\/li>\n<\/ol>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian. C\u00e1ch ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian ho\u1ea1t \u0111\u1ed9ng<\/h2>\n<p>Ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian bao g\u1ed3m c\u00e1c th\u00e0nh ph\u1ea7n kh\u00e1c nhau nh\u01b0 m\u00f4 h\u00ecnh th\u1ed1ng k\u00ea, thu\u1eadt to\u00e1n v\u00e0 ph\u01b0\u01a1ng ph\u00e1p \u0111\u1ec3 hi\u1ec3u c\u1ea5u tr\u00fac b\u00ean trong. \u0110\u00e2y l\u00e0 c\u00e1ch n\u00f3 ho\u1ea1t \u0111\u1ed9ng:<\/p>\n<ol>\n<li><strong>Thu th\u1eadp d\u1eef li\u1ec7u:<\/strong> Thu th\u1eadp d\u1eef li\u1ec7u tu\u1ea7n t\u1ef1 theo th\u1eddi gian.<\/li>\n<li><strong>L\u00e0m s\u1ea1ch d\u1eef li\u1ec7u:<\/strong> Lo\u1ea1i b\u1ecf nhi\u1ec5u v\u00e0 x\u1eed l\u00fd c\u00e1c gi\u00e1 tr\u1ecb b\u1ecb thi\u1ebfu.<\/li>\n<li><strong>L\u1ef1a ch\u1ecdn m\u00f4 h\u00ecnh:<\/strong> Ch\u1ecdn m\u00f4 h\u00ecnh th\u1ed1ng k\u00ea ho\u1eb7c h\u1ecdc m\u00e1y ph\u00f9 h\u1ee3p nh\u1ea5t.<\/li>\n<li><strong>L\u1eafp m\u00f4 h\u00ecnh:<\/strong> \u01af\u1edbc l\u01b0\u1ee3ng c\u00e1c th\u00f4ng s\u1ed1<\/li>\n<li><strong>D\u1ef1 b\u00e1o:<\/strong> \u0110\u01b0a ra d\u1ef1 \u0111o\u00e1n ho\u1eb7c suy lu\u1eadn v\u1ec1 c\u00e1c s\u1ef1 ki\u1ec7n trong t\u01b0\u01a1ng lai.<\/li>\n<\/ol>\n<h2>Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian<\/h2>\n<p>C\u00e1c t\u00ednh n\u0103ng c\u01a1 b\u1ea3n c\u1ee7a ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian bao g\u1ed3m:<\/p>\n<ul>\n<li>Ph\u00e1t hi\u1ec7n c\u00e1c m\u1eabu c\u01a1 b\u1ea3n<\/li>\n<li>D\u1ef1 b\u00e1o xu h\u01b0\u1edbng t\u01b0\u01a1ng lai<\/li>\n<li>Hi\u1ec3u t\u00ednh th\u1eddi v\u1ee5 v\u00e0 h\u00e0nh vi mang t\u00ednh chu k\u1ef3<\/li>\n<li>X\u00e1c \u0111\u1ecbnh s\u1ef1 b\u1ea5t th\u01b0\u1eddng<\/li>\n<li>Tr\u1ef1c quan h\u00f3a c\u00e1c c\u1ea5u tr\u00fac ph\u1ee5 thu\u1ed9c v\u00e0o th\u1eddi gian<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian. S\u1eed d\u1ee5ng b\u1ea3ng v\u00e0 danh s\u00e1ch \u0111\u1ec3 vi\u1ebft<\/h2>\n<h3>Ph\u00e2n t\u00edch \u0111\u01a1n bi\u1ebfn<\/h3>\n<ul>\n<li>Ph\u00e2n t\u00edch bi\u1ebfn ph\u1ee5 thu\u1ed9c th\u1eddi gian duy nh\u1ea5t<\/li>\n<li>V\u00ed d\u1ee5 bao g\u1ed3m gi\u00e1 c\u1ed5 phi\u1ebfu, h\u1ed3 s\u01a1 nhi\u1ec7t \u0111\u1ed9, v.v.<\/li>\n<\/ul>\n<h3>Ph\u00e2n t\u00edch \u0111a bi\u1ebfn<\/h3>\n<ul>\n<li>Ph\u00e2n t\u00edch \u0111\u1ed3ng th\u1eddi nhi\u1ec1u bi\u1ebfn ph\u1ee5 thu\u1ed9c th\u1eddi gian<\/li>\n<li>H\u1eefu \u00edch trong vi\u1ec7c t\u00ecm hi\u1ec3u c\u00e1c h\u1ec7 th\u1ed1ng ph\u1ee9c t\u1ea1p<\/li>\n<\/ul>\n<h3>B\u1ea3ng c\u00e1c m\u00f4 h\u00ecnh chung<\/h3>\n<table>\n<thead>\n<tr>\n<th>Lo\u1ea1i m\u00f4 h\u00ecnh<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>ARIMA<\/td>\n<td>M\u00f4 h\u00ecnh Trung b\u00ecnh tr\u01b0\u1ee3t T\u00edch h\u1ee3p T\u1ef1 h\u1ed3i quy<\/td>\n<\/tr>\n<tr>\n<td>L\u00e0m m\u1ecbn theo c\u1ea5p s\u1ed1 nh\u00e2n<\/td>\n<td>M\u00f4 h\u00ecnh trung b\u00ecnh c\u00f3 tr\u1ecdng s\u1ed1 ph\u1ee9c t\u1ea1p<\/td>\n<\/tr>\n<tr>\n<td>LSTM<\/td>\n<td>M\u1ea1ng th\u1ea7n kinh tr\u00ed nh\u1edb ng\u1eafn h\u1ea1n d\u00e0i \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n tr\u00ecnh t\u1ef1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng Ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian, 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<p>Ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian c\u00f3 nhi\u1ec1u \u1ee9ng d\u1ee5ng kh\u00e1c nhau nh\u01b0:<\/p>\n<ul>\n<li>D\u1ef1 b\u00e1o kinh t\u1ebf<\/li>\n<li>D\u1ef1 \u0111o\u00e1n doanh s\u1ed1<\/li>\n<li>D\u1ef1 b\u00e1o th\u1eddi ti\u1ebft<\/li>\n<li>\u01af\u1edbc t\u00ednh m\u1ee9c ti\u00eau th\u1ee5 n\u0103ng l\u01b0\u1ee3ng<\/li>\n<\/ul>\n<p><strong>C\u00e1c v\u1ea5n \u0111\u1ec1:<\/strong><\/p>\n<ul>\n<li>D\u1eef li\u1ec7u b\u1ecb m\u1ea5t<\/li>\n<li>Ti\u1ebfng \u1ed3n<\/li>\n<li>T\u00ednh kh\u00f4ng c\u1ed1 \u0111\u1ecbnh<\/li>\n<\/ul>\n<p><strong>C\u00e1c gi\u1ea3i ph\u00e1p:<\/strong><\/p>\n<ul>\n<li>Ph\u01b0\u01a1ng ph\u00e1p t\u00ednh to\u00e1n cho d\u1eef li\u1ec7u b\u1ecb thi\u1ebfu<\/li>\n<li>K\u1ef9 thu\u1eadt l\u00e0m m\u1ecbn \u0111\u1ec3 gi\u1ea3m ti\u1ebfng \u1ed3n<\/li>\n<li>Kh\u00e1c bi\u1ec7t ho\u1eb7c chuy\u1ec3n \u0111\u1ed5i cho t\u00ednh d\u1eebng<\/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 \u1edf d\u1ea1ng b\u1ea3ng v\u00e0 danh s\u00e1ch<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0110\u1eb7c tr\u01b0ng<\/th>\n<th>Ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian<\/th>\n<th>Ph\u00e2n t\u00edch c\u1eaft ngang<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>S\u1eafp x\u1ebfp d\u1eef li\u1ec7u<\/td>\n<td>\u0110\u00e3 \u0111\u1eb7t h\u00e0ng<\/td>\n<td>Kh\u00f4ng c\u00f3 th\u1ee9 t\u1ef1<\/td>\n<\/tr>\n<tr>\n<td>Ph\u1ee5 thu\u1ed9c th\u1eddi gian<\/td>\n<td>Cao<\/td>\n<td>Th\u1ea5p<\/td>\n<\/tr>\n<tr>\n<td>Ph\u01b0\u01a1ng ph\u00e1p th\u1ed1ng k\u00ea<\/td>\n<td>Chuy\u00ean<\/td>\n<td>T\u1ed5ng quan<\/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 ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian<\/h2>\n<p>Nh\u1eefng ti\u1ebfn b\u1ed9 trong t\u01b0\u01a1ng lai trong ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian bao g\u1ed3m:<\/p>\n<ul>\n<li>T\u00edch h\u1ee3p m\u00f4 h\u00ecnh AI v\u00e0 Machine Learning<\/li>\n<li>Ph\u00e2n t\u00edch th\u1eddi gian th\u1ef1c<\/li>\n<li>C\u00f4ng c\u1ee5 tr\u1ef1c quan n\u00e2ng cao<\/li>\n<li>Thu th\u1eadp d\u1eef li\u1ec7u chu\u1ed7i th\u1eddi gian d\u1ef1a tr\u00ean IoT<\/li>\n<\/ul>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian<\/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 \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian b\u1eb1ng c\u00e1ch:<\/p>\n<ul>\n<li>T\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu th\u1eadp d\u1eef li\u1ec7u an to\u00e0n<\/li>\n<li>Cho ph\u00e9p thu th\u1eadp th\u00f4ng tin nh\u1ea1y c\u1ea3m v\u1ec1 th\u1eddi gian \u1ea9n danh<\/li>\n<li>\u0110\u1ea3m b\u1ea3o k\u1ebft n\u1ed1i \u0111\u00e1ng tin c\u1eady \u0111\u1ec3 ph\u00e2n t\u00edch th\u1eddi gian th\u1ef1c<\/li>\n<\/ul>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ul>\n<li><a href=\"https:\/\/oneproxy.pro\/vn\/\" target=\"_new\" rel=\"noopener\">Trang web OneProxy<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Time_series\" target=\"_new\" rel=\"noopener nofollow\">Ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian tr\u00ean Wikipedia<\/a><\/li>\n<li><a href=\"https:\/\/www.coursera.org\/learn\/time-series-analysis\" target=\"_new\" rel=\"noopener nofollow\">Kh\u00f3a h\u1ecdc Coursera v\u1ec1 ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian<\/a><\/li>\n<\/ul>\n<p>C\u00e1c t\u00e0i nguy\u00ean n\u00e0y cung c\u1ea5p th\u00eam th\u00f4ng tin chi ti\u1ebft v\u00e0 hi\u1ec3u bi\u1ebft v\u1ec1 ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian, ph\u1ee5c v\u1ee5 cho c\u00e1c c\u1ea5p \u0111\u1ed9 chuy\u00ean m\u00f4n v\u00e0 l\u0129nh v\u1ef1c \u1ee9ng d\u1ee5ng kh\u00e1c nhau.<\/p>","protected":false},"featured_media":470695,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479333","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Time Series Analysis: A Comprehensive Overview<\/mark>","faq_items":[{"question":"What is Time Series Analysis?","answer":"<p>Time Series Analysis is the study of ordered data points set in successive time intervals. It encompasses techniques to extract meaningful statistics, underlying patterns, and predicts future trends. It is widely used in fields like economics, finance, medicine, and engineering.<\/p>"},{"question":"What are the Key Components of Time Series?","answer":"<p>The key components of time series are Trend, Seasonality, Cyclic Patterns, and Noise. Trend refers to the long-term movement, Seasonality to the regular pattern of fluctuations, Cyclic Patterns to fluctuations without fixed periods, and Noise to random variations in the series.<\/p>"},{"question":"How Does Time Series Analysis Work?","answer":"<p>Time series analysis works through various steps including Data Collection, Data Cleaning, Model Selection, Model Fitting, and Forecasting. It involves gathering sequential data, removing noise, choosing and fitting the best model, and making predictions about future events.<\/p>"},{"question":"What are the Different Types of Time Series Analysis?","answer":"<p>Time Series Analysis can be broadly categorized into Univariate Analysis, which analyzes a single time-dependent variable, and Multivariate Analysis, which analyzes multiple time-dependent variables simultaneously. Some common models include ARIMA, Exponential Smoothing, and LSTM.<\/p>"},{"question":"What are the Applications and Common Problems in Time Series Analysis?","answer":"<p>Time Series Analysis is applied in Economic Forecasting, Sales Prediction, Weather Forecasting, and Energy Consumption Estimation. Common problems include Missing Data, Noise, and Non-stationarity, which can be addressed through Imputation Methods, Smoothing Techniques, and Differencing or Transformation.<\/p>"},{"question":"How are Proxy Servers Like OneProxy Related to Time Series Analysis?","answer":"<p>Proxy servers, such as those provided by OneProxy, are associated with Time Series Analysis by facilitating secure data collection, enabling anonymous scraping of time-sensitive information, and ensuring reliable connectivity for real-time analysis.<\/p>"},{"question":"What are the Future Perspectives and Technologies in Time Series Analysis?","answer":"<p>Future perspectives in time series analysis include the Integration of AI and Machine Learning Models, Real-time Analysis, Enhanced Visualization Tools, and IoT-driven Time Series Data Collection. The field continues to evolve with technological advancements.<\/p>"},{"question":"Where Can I Find More Information about Time Series Analysis?","answer":"<p>You can find more detailed information about Time Series Analysis on the <a href=\"https:\/\/www.oneproxy.pro\" target=\"_new\">OneProxy Website<\/a>, <a href=\"https:\/\/en.wikipedia.org\/wiki\/Time_series\" target=\"_new\">Wikipedia's page on Time Series Analysis<\/a>, and through various online courses such as the <a href=\"https:\/\/www.coursera.org\/learn\/time-series-analysis\" target=\"_new\">Coursera Course on Time Series Analysis<\/a>.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/479333","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\/479333\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/470695"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=479333"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}