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href="javascript:;">专栏文章<span class="num">(18)</span></a></li><li class="com-tab-item"><a href="/developer/tag/12085?entry=video">技术视频<span class="num">(0)</span></a></li><li class="com-tab-item"><a href="/developer/tag/12085?entry=ask">互动问答<span class="num">(0)</span></a></li></ul></div><div class="com-tab-bd"><com class="com-tab-panel"><div class="com-article-panel-v2-list"><section class="com-article-panel-v2 higher"><a href="/developer/article/2403659" track-click="{"areaId":113001,"objectType":"article","objectId":2403659}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2403659}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">R语言用多项式回归和ARIMA模型预测电力负荷时间序列数据</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/17290?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17290}" class="com-tag-v2">函数</a><a href="/developer/tag/17381?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17381}" class="com-tag-v2">模型</a><a href="/developer/tag/17440?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17440}" class="com-tag-v2">数据</a><a href="/developer/tag/10665?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":10665}" class="com-tag-v2">存储</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://developer.qcloudimg.com/http-save/yehe-5031023/09f1fcb190eec1e4ee43132473a7b084.jpg?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/eq0haxixo.jpeg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="author-info name">拓端</a><span class="author-info time"><time dateTime="2024-04-01 13:45:37" title="2024-04-01 13:45:37"> 2024-04-01<span class="com-v-box">2024-04-01 13:45:37</span></time></span></div></div></div><p class="com-article-panel-v2-des">根据我们对温度的预测，我们可以预测电力消耗。绘制电力消耗序列图：（点击文末“阅读原文”获取完整代码数据）。</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>131</span><span class="com-opt-link link-like"><i class="com-i-like"></i>1</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2403659.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2363572" track-click="{"areaId":113001,"objectType":"article","objectId":2363572}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2363572}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">数据分享|Eviews用ARIMA、指数曲线趋势模型对中国进出口总额时间序列预测分析</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/10332?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":10332}" class="com-tag-v2">神经网络</a><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a 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style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/eq0haxixo.jpeg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="author-info name">拓端</a><span class="author-info time"><time dateTime="2023-11-25 15:09:04" title="2023-11-25 15:09:04"> 2023-11-25<span class="com-v-box">2023-11-25 15:09:04</span></time></span></div></div></div><p class="com-article-panel-v2-des">众自20世纪80年代至今，随着改革开放的深入以及中国最终加入WTO，我国的对外贸易实现了跨越式的发展，中国已经成为世界第一大出口国和第二大进口国，中国经济对世界...</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>752</span><span class="com-opt-link link-like"><i class="com-i-like"></i>1</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2363572.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2362965" track-click="{"areaId":113001,"objectType":"article","objectId":2362965}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2362965}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">【机器学习 | ARIMA】经典时间序列模型ARIMA定阶最佳实践，确定不来看看？</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/10149?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":10149}" class="com-tag-v2">机器学习</a><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/17290?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17290}" class="com-tag-v2">函数</a><a href="/developer/tag/17381?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17381}" class="com-tag-v2">模型</a><a href="/developer/tag/17607?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17607}" class="com-tag-v2">最佳实践</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://developer.qcloudimg.com/http-save/yehe-9709733/0264fd60f727fffaa30ca4c18aab399c.png?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/9709733" track-click="{"objectType":"user","objectId":9709733}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://developer.qcloudimg.com/http-save/10011/b7d7ceb1d5c6b750eaef1031caf823b2.jpg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/9709733" track-click="{"objectType":"user","objectId":9709733}" target="_blank" class="author-info name">计算机魔术师</a><span class="author-info time"><time dateTime="2023-11-24 09:54:07" title="2023-11-24 09:54:07"> 2023-11-24<span class="com-v-box">2023-11-24 09:54:07</span></time></span></div></div></div><p class="com-article-panel-v2-des"> 【深度学习 | 核心概念】那些深度学习路上必经的核心概念，确定不来看看？ （一） 作者： 计算机魔术师 版本： 1.0 （ 20...</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>2K</span><span class="com-opt-link link-like"><i class="com-i-like"></i>1</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2362965.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2360869" track-click="{"areaId":113001,"objectType":"article","objectId":2360869}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2360869}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">【数据挖掘 & 机器学习 | 时间序列】时间序列必学模型: ARIMA超详细讲解</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/10148?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":10148}" class="com-tag-v2">数据挖掘</a><a href="/developer/tag/10149?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":10149}" class="com-tag-v2">机器学习</a><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/17381?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17381}" class="com-tag-v2">模型</a><a href="/developer/tag/17440?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17440}" class="com-tag-v2">数据</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://developer.qcloudimg.com/http-save/yehe-9709733/0264fd60f727fffaa30ca4c18aab399c.png?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/9709733" track-click="{"objectType":"user","objectId":9709733}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://developer.qcloudimg.com/http-save/10011/b7d7ceb1d5c6b750eaef1031caf823b2.jpg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/9709733" track-click="{"objectType":"user","objectId":9709733}" target="_blank" class="author-info name">计算机魔术师</a><span class="author-info time"><time dateTime="2023-11-20 09:18:29" title="2023-11-20 09:18:29"> 2023-11-20<span class="com-v-box">2023-11-20 09:18:29</span></time></span></div></div></div><p class="com-article-panel-v2-des"> 【数据挖掘 & 机器学习 | 时间序列】时间序列必学模型: ARIMA超详细讲解 作者： 计算机魔术师 版本： 1.0 （ 20...</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>1.7K</span><span class="com-opt-link link-like"><i class="com-i-like"></i>3</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2360869.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2344836" track-click="{"areaId":113001,"objectType":"article","objectId":2344836}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2344836}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">R语言非线性动态回归模型ARIMAX、随机、确定性趋势时间序列预测个人消费和收入、用电量、国际游客数量</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/17188?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17188}" class="com-tag-v2">变量</a><a href="/developer/tag/17290?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17290}" class="com-tag-v2">函数</a><a href="/developer/tag/17381?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17381}" class="com-tag-v2">模型</a><a href="/developer/tag/17440?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17440}" class="com-tag-v2">数据</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://developer.qcloudimg.com/http-save/yehe-5031023/4fea73293b98a3dadd137868ba78aa7e.jpg?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/eq0haxixo.jpeg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="author-info name">拓端</a><span class="author-info time"><time dateTime="2023-10-17 14:46:31" title="2023-10-17 14:46:31"> 2023-10-17<span class="com-v-box">2023-10-17 14:46:31</span></time></span></div></div></div><p class="com-article-panel-v2-des">传统时间序列模型允许包含过去观察到的系列信息，但不允许客户包含其他可能相关的信息。例如，假期的影响、竞争对手的活动、法律变化、整体经济或其他外部变量可能解释了某...</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>378</span><span class="com-opt-link link-like"><i class="com-i-like"></i>2</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2344836.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2320740" track-click="{"areaId":113001,"objectType":"article","objectId":2320740}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2320740}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">数据分享|R语言武汉流动人口趋势预测：灰色模型GM（1，1）、ARIMA时间序列、logistic逻辑回归模型</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/17381?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17381}" class="com-tag-v2">模型</a><a href="/developer/tag/17440?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17440}" class="com-tag-v2">数据</a><a href="/developer/tag/17470?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17470}" class="com-tag-v2">统计</a><a href="/developer/tag/17506?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17506}" class="com-tag-v2">系统</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://developer.qcloudimg.com/http-save/yehe-5031023/247021c032edde7960e25b58752b783a.jpg?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/eq0haxixo.jpeg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="author-info name">拓端</a><span class="author-info time"><time dateTime="2023-08-31 15:52:15" title="2023-08-31 15:52:15"> 2023-08-31<span class="com-v-box">2023-08-31 15:52:15</span></time></span></div></div></div><p class="com-article-panel-v2-des">从AIC的结果来看，arima(2,1,1)模型拥有最小的AIC值，因此为最优模型，因此将arima(2,1,1)模型作为最优模型。</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>252</span><span class="com-opt-link link-like"><i class="com-i-like"></i>2</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2320740.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2319904" track-click="{"areaId":113001,"objectType":"article","objectId":2319904}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2319904}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">数据分享|R语言交互可视化分析Zillow房屋市场：arima、VAR时间序列、XGBoost、主成分分析、LASSO报告</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/16766?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":16766}" class="com-tag-v2">var</a><a href="/developer/tag/17097?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17097}" class="com-tag-v2">xgboost</a><a href="/developer/tag/17348?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17348}" class="com-tag-v2">可视化</a><a href="/developer/tag/17440?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17440}" class="com-tag-v2">数据</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://developer.qcloudimg.com/http-save/yehe-5031023/d0f4af4595020657b169f66be1eff846.jpg?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/eq0haxixo.jpeg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="author-info name">拓端</a><span class="author-info time"><time dateTime="2023-08-31 08:17:26" title="2023-08-31 08:17:26"> 2023-08-31<span class="com-v-box">2023-08-31 08:17:26</span></time></span></div></div></div><p class="com-article-panel-v2-des">基于arima时间序列模型之上，考虑了季节性因素。把过去的值（AR）、过去的预测误差（MA）、过去值之间的差异（I）和季节长度（S）作为预测参数。通过对PACF...</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>227</span><span class="com-opt-link link-like"><i class="com-i-like"></i>3</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2319904.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2319900" track-click="{"areaId":113001,"objectType":"article","objectId":2319900}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2319900}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">数据分享|R语言分析上海空气质量指数数据：kmean聚类、层次聚类、时间序列分析：arima模型、指数平滑法</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/10332?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":10332}" class="com-tag-v2">神经网络</a><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/17188?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17188}" class="com-tag-v2">变量</a><a href="/developer/tag/17381?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17381}" class="com-tag-v2">模型</a><a href="/developer/tag/17440?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17440}" class="com-tag-v2">数据</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://developer.qcloudimg.com/http-save/yehe-5031023/d84a7f14da84e240dd4b55a5fb2f57fc.jpg?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/eq0haxixo.jpeg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="author-info name">拓端</a><span class="author-info time"><time dateTime="2023-08-31 08:14:10" title="2023-08-31 08:14:10"> 2023-08-31<span class="com-v-box">2023-08-31 08:14:10</span></time></span></div></div></div><p class="com-article-panel-v2-des">最近我们被客户要求撰写关于上海空气质量指数的研究报告。本文向大家介绍R语言对上海PM2.5等空气质量数据（查看文末了解数据免费获取方式）间的相关分析和预测分析，...</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>428</span><span class="com-opt-link link-like"><i class="com-i-like"></i>2</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2319900.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2313248" track-click="{"areaId":113001,"objectType":"article","objectId":2313248}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2313248}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">GPT4做数据分析时间序列预测之八相当棒2023.6.1</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/10802?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":10802}" class="com-tag-v2">数据分析</a><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/14013?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":14013}" class="com-tag-v2">import</a><a href="/developer/tag/17381?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17381}" class="com-tag-v2">模型</a><a href="/developer/tag/17440?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17440}" class="com-tag-v2">数据</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://developer.qcloudimg.com/http-save/yehe-7138673/0e0729cdd5474d5bce692e69234528cc.jpg?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/7138673" track-click="{"objectType":"user","objectId":7138673}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/random-avatar/7138673/2aralw6f01.png)"></span></a><div class="com-media-body"><a href="/developer/user/7138673" track-click="{"objectType":"user","objectId":7138673}" target="_blank" class="author-info name">用户7138673</a><span class="author-info time"><time dateTime="2023-08-16 21:21:49" title="2023-08-16 21:21:49"> 2023-08-16<span class="com-v-box">2023-08-16 21:21:49</span></time></span></div></div></div><p class="com-article-panel-v2-des">1、用了多种方法预测未来6个月的销售额，并计算了算法的标准差、平均值、与1绝对值求和等验证指标。</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>379</span><span class="com-opt-link link-like"><i class="com-i-like"></i>1</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2313248.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2274910" track-click="{"areaId":113001,"objectType":"article","objectId":2274910}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2274910}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">非平稳时间序列</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/17290?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17290}" class="com-tag-v2">函数</a><a href="/developer/tag/17305?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17305}" class="com-tag-v2">集群</a><a href="/developer/tag/17353?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17353}" class="com-tag-v2">框架</a><a href="/developer/tag/17381?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17381}" class="com-tag-v2">模型</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://developer.qcloudimg.com/http-save/yehe-9453030/f15bdddc7954115ce034035bba2677ec.png?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/9453030" track-click="{"objectType":"user","objectId":9453030}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-9453030/e7010bf91a5eb00ac8b482d95072b8b8.jpg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/9453030" track-click="{"objectType":"user","objectId":9453030}" target="_blank" class="author-info name">爱编程的小明</a><span class="author-info time"><time dateTime="2023-04-27 14:32:54" title="2023-04-27 14:32:54"> 2023-04-27<span class="com-v-box">2023-04-27 14:32:54</span></time></span></div></div></div><p class="com-article-panel-v2-des">若非平稳序列经过差分后能显示出平稳序列的性质，我们就可以称这个非平稳序列为差分平稳序列，而ARIMA模型拟合就相当于给差分平稳序列使用ARMA模型进行拟合。 ...</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>851</span><span class="com-opt-link link-like"><i class="com-i-like"></i>2</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2274910.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2245066" track-click="{"areaId":113001,"objectType":"article","objectId":2245066}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2245066}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">R语言对S＆P500股票指数进行ARIMA + GARCH交易策略|附代码数据</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/10364?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":10364}" class="com-tag-v2">文件存储</a><a href="/developer/tag/10665?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":10665}" class="com-tag-v2">存储</a><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/17381?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17381}" class="com-tag-v2">模型</a><a href="/developer/tag/17440?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17440}" class="com-tag-v2">数据</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/eq0haxixo.jpeg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="author-info name">拓端</a><span class="author-info time"><time dateTime="2023-03-23 23:50:07" title="2023-03-23 23:50:07"> 2023-03-23<span class="com-v-box">2023-03-23 23:50:07</span></time></span></div></div></div><p class="com-article-panel-v2-des">最近我们被客户要求撰写关于ARIMA + GARCH交易策略的研究报告，包括一些图形和统计输出。</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>476</span><span class="com-opt-link link-like"><i class="com-i-like"></i>0</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2245066.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2015880" track-click="{"areaId":113001,"objectType":"article","objectId":2015880}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2015880}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">一个简单实例解析移动平均模型 Moving-Average Models</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-7220647/69a57260a61340663f51fed0521685aa.png?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/7220647" track-click="{"objectType":"user","objectId":7220647}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-7220647/81c5154365040aaa9485cbb02ccf9263.png?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/7220647" track-click="{"objectType":"user","objectId":7220647}" target="_blank" class="author-info name">deephub</a><span class="author-info time"><time dateTime="2022-06-04 12:51:24" title="2022-06-04 12:51:24"> 2022-06-04<span class="com-v-box">2022-06-04 12:51:24</span></time></span></div></div></div><p class="com-article-panel-v2-des">本文将使用简单的说明性示例来解释移动平均模型（Arima [p，q]中的MA [Q]）。</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>751</span><span class="com-opt-link link-like"><i class="com-i-like"></i>4</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2015880.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/2012798" track-click="{"areaId":113001,"objectType":"article","objectId":2012798}" track-exposure="{"areaId":113001,"objectType":"article","objectId":2012798}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">Holt-Winters季节性预测模型</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/17460?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":17460}" class="com-tag-v2">算法</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-6965055/f9c2801753289317f836419fb4684d63.gif)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/6965055" track-click="{"objectType":"user","objectId":6965055}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://developer.qcloudimg.com/http-save/10011/c2d0e81b15796a64cb89519c17a7c1c2.jpg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/6965055" track-click="{"objectType":"user","objectId":6965055}" target="_blank" class="author-info name">裴来凡</a><span class="author-info time"><time dateTime="2022-05-29 10:35:47" title="2022-05-29 10:35:47"> 2022-05-29<span class="com-v-box">2022-05-29 10:35:47</span></time></span></div></div></div><p class="com-article-panel-v2-des">算法：Holt-Winters季节性预测模型是一种三次指数平滑预测，除了水平和趋势外，还将指数平滑应用到季节分量上。</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>1.8K</span><span class="com-opt-link link-like"><i class="com-i-like"></i>2</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.2012798.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/1951589" track-click="{"areaId":113001,"objectType":"article","objectId":1951589}" track-exposure="{"areaId":113001,"objectType":"article","objectId":1951589}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">ARIMA模型、随机游走模型RW模拟和预测时间序列趋势可视化</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/15276?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":15276}" class="com-tag-v2">plot</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/0ea4a0634c8b43fa6d69c26b9bf8aee7.png?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/eq0haxixo.jpeg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="author-info name">拓端</a><span class="author-info time"><time dateTime="2022-03-05 11:07:10" title="2022-03-05 11:07:10"> 2022-03-05<span class="com-v-box">2022-03-05 11:07:10</span></time></span></div></div></div><p class="com-article-panel-v2-des">当一个序列遵循随机游走模型时，就说它是非平稳的。我们可以通过对时间序列进行一阶差分来对其进行平稳化，这将产生一个平稳序列，即零均值白噪声序列。例如，股票的股价遵...</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>2.2K</span><span class="com-opt-link link-like"><i class="com-i-like"></i>3</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.1951589.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/1884001" track-click="{"areaId":113001,"objectType":"article","objectId":1884001}" track-exposure="{"areaId":113001,"objectType":"article","objectId":1884001}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">Python | ARIMA时间序列模型预测航空公司的乘客数量</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/10169?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":10169}" class="com-tag-v2">python</a><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/12164?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12164}" class="com-tag-v2">auto</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/eq0haxixo.jpeg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="author-info name">拓端</a><span class="author-info time"><time dateTime="2021-09-29 15:57:00" title="2021-09-29 15:57:00"> 2021-09-29<span class="com-v-box">2021-09-29 15:57:00</span></time></span></div></div></div><p class="com-article-panel-v2-des">以下是一个时间序列示例，该示例说明了从1949年到1960年每月航空公司的乘客数量。</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>2.1K</span><span class="com-opt-link link-like"><i class="com-i-like"></i>3</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.1884001.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/1823867" track-click="{"areaId":113001,"objectType":"article","objectId":1823867}" track-exposure="{"areaId":113001,"objectType":"article","objectId":1823867}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">招商银行2021FinTech精英训练营数据赛道方案分享</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/12600?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12600}" class="com-tag-v2">cloud</a><a href="/developer/tag/12897?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12897}" class="com-tag-v2">data</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5992036/99jsocv9ud.png?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/5992036" track-click="{"objectType":"user","objectId":5992036}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/custom-avatar/5992036/td37mcy2qd.jpg)"></span></a><div class="com-media-body"><a href="/developer/user/5992036" track-click="{"objectType":"user","objectId":5992036}" target="_blank" class="author-info name">老肥码码码</a><span class="author-info time"><time dateTime="2021-05-14 11:39:06" title="2021-05-14 11:39:06"> 2021-05-14<span class="com-v-box">2021-05-14 11:39:06</span></time></span></div></div></div><p class="com-article-panel-v2-des">今天老肥和大家分享的是下午刚刚结束的招商银行2021FinTech精英训练营数据赛道的方案。这次赛题是时间序列赛题，我也是第二次尝试（第一次是中兴捧月迪杰斯特拉...</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>1.2K</span><span class="com-opt-link link-like"><i class="com-i-like"></i>2</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.1823867.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section><section class="com-article-panel-v2 higher"><a href="/developer/article/1673682" track-click="{"areaId":113001,"objectType":"article","objectId":1673682}" track-exposure="{"areaId":113001,"objectType":"article","objectId":1673682}" target="_blank" class="com-article-panel-v2-link"></a><div class="com-article-panel-v2-hd"><h3 class="com-article-panel-v2-title">使用R语言进行时间序列（arima，指数平滑）分析</h3><nav class="com-tag-v2-list com-article-panel-v2-tags"><a href="/developer/tag/12085?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":12085}" class="com-tag-v2">arima</a><a href="/developer/tag/14385?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":14385}" class="com-tag-v2">lag</a><a href="/developer/tag/15276?entry=article" track-click="{"areaId":113001,"objectType":"tag","objectId":15276}" class="com-tag-v2">plot</a></nav></div><div class="com-article-panel-v2-bd"><div class="com-article-panel-v2-object"><span class="com-article-panel-v2-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/2egtn2jrui.png?imageView2/2/w/400/h/7000)"></span></div><div class="com-article-panel-v2-cnt"><div class="com-article-panel-v2-user-wrap"><div class="com-media com-user-infos"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="com-media-object"><span class="com-media-img" style="background-image:url(https://ask.qcloudimg.com/http-save/yehe-5031023/eq0haxixo.jpeg?imageView2/2/w/48/h/7000)"></span></a><div class="com-media-body"><a href="/developer/user/5031023" track-click="{"objectType":"user","objectId":5031023}" target="_blank" class="author-info name">拓端</a><span class="author-info time"><time dateTime="2020-08-04 17:21:09" title="2020-08-04 17:21:09"> 2020-08-04<span class="com-v-box">2020-08-04 17:21:09</span></time></span></div></div></div><p class="com-article-panel-v2-des">您要分析时间序列数据的第一件事就是将其读入R，并绘制时间序列。您可以使用scan（）函数将数据读入R，该函数假定连续时间点的数据位于包含一列的简单文本文件中。</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>5K</span><span class="com-opt-link link-like"><i class="com-i-like"></i>6</span><span class="com-opt-link link-comment"><i 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href="/developer/user/7199093" track-click="{"objectType":"user","objectId":7199093}" target="_blank" class="author-info name">AI那点小事</a><span class="author-info time"><time dateTime="2020-04-15 17:18:41" title="2020-04-15 17:18:41"> 2020-04-15<span class="com-v-box">2020-04-15 17:18:41</span></time></span></div></div></div><p class="com-article-panel-v2-des">介绍ARIMA之前，我们首先介绍一下时间序列模型和一般建模的区别。想象一下我们预测某个人贷款是否会违约，我们已知的特征中包含用户贷款时间以及用户的个人信息。虽然...</p><div class="com-operations com-article-panel-v2-opt"><span class="com-opt-link link-view"><i class="com-i-view"></i>1.2K</span><span class="com-opt-link link-like"><i class="com-i-like"></i>1</span><span class="com-opt-link link-comment"><i class="com-i-dialog"></i>0</span><span><a href="javascript:;" class="com-opt-link link-share" hotrep="community.tag.tag_detail.activities.article.1614733.sharing"><i class="com-i-share"></i></a><ul class="com-share-options"></ul></span></div></div></div></section></div></com></div></div></div><div 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