| const e=JSON.parse('{"key":"v-d6788bea","path":"/zh/UserGuide/V1.0.x/Operators-Functions/Series-Discovery.html","title":"序列发现","lang":"zh-CN","frontmatter":{"description":"ConsecutiveSequences 函数简介 本函数用于在多维严格等间隔数据中发现局部最长连续子序列。 严格等间隔数据是指数据的时间间隔是严格相等的，允许存在数据缺失（包括行缺失和值缺失），但不允许存在数据冗余和时间戳偏移。 连续子序列是指严格按照标准时间间隔等距排布，不存在任何数据缺失的子序列。如果某个连续子序列不是任何连续子序列的真子序列，那...","head":[["link",{"rel":"alternate","hreflang":"en-us","href":"https://iotdb.apache.org/UserGuide/V1.0.x/Operators-Functions/Series-Discovery.html"}],["meta",{"property":"og:url","content":"https://iotdb.apache.org/zh/UserGuide/V1.0.x/Operators-Functions/Series-Discovery.html"}],["meta",{"property":"og:site_name","content":"IoTDB Website"}],["meta",{"property":"og:title","content":"序列发现"}],["meta",{"property":"og:description","content":"ConsecutiveSequences 函数简介 本函数用于在多维严格等间隔数据中发现局部最长连续子序列。 严格等间隔数据是指数据的时间间隔是严格相等的，允许存在数据缺失（包括行缺失和值缺失），但不允许存在数据冗余和时间戳偏移。 连续子序列是指严格按照标准时间间隔等距排布，不存在任何数据缺失的子序列。如果某个连续子序列不是任何连续子序列的真子序列，那..."}],["meta",{"property":"og:type","content":"article"}],["meta",{"property":"og:locale","content":"zh-CN"}],["meta",{"property":"og:locale:alternate","content":"en-US"}],["meta",{"property":"og:updated_time","content":"2024-03-29T10:15:18.000Z"}],["meta",{"property":"article:modified_time","content":"2024-03-29T10:15:18.000Z"}],["script",{"type":"application/ld+json"},"{\\"@context\\":\\"https://schema.org\\",\\"@type\\":\\"Article\\",\\"headline\\":\\"序列发现\\",\\"image\\":[\\"\\"],\\"dateModified\\":\\"2024-03-29T10:15:18.000Z\\",\\"author\\":[]}"]]},"headers":[{"level":2,"title":"ConsecutiveSequences","slug":"consecutivesequences","link":"#consecutivesequences","children":[{"level":3,"title":"函数简介","slug":"函数简介","link":"#函数简介","children":[]},{"level":3,"title":"使用示例","slug":"使用示例","link":"#使用示例","children":[]}]},{"level":2,"title":"ConsecutiveWindows","slug":"consecutivewindows","link":"#consecutivewindows","children":[{"level":3,"title":"函数简介","slug":"函数简介-1","link":"#函数简介-1","children":[]},{"level":3,"title":"使用示例","slug":"使用示例-1","link":"#使用示例-1","children":[]}]}],"git":{"createdTime":1711707318000,"updatedTime":1711707318000,"contributors":[{"name":"CritasWang","email":"critas@outlook.com","commits":1}]},"readingTime":{"minutes":4.26,"words":1278},"filePathRelative":"zh/UserGuide/V1.0.x/Operators-Functions/Series-Discovery.md","localizedDate":"2024年3月29日","autoDesc":true}');export{e as data}; |