勾勒事件的顺序

摘要：

我们介绍了海量数据流的功能。这些流特征可以被认为是“有序矩”，并将流草图从“一阶矩”推广到“任意阶的有序矩”。与经典矩类似，它们具有理论保证，例如对学习算法很重要的普适性。

英文摘要：

We introduce features for massive data streams. These stream features can be thought of as "ordered moments" and generalize stream sketches from "moments of order one" to "ordered moments of arbitrary order". In analogy to classic moments, they have theoretical guarantees such as universality that are important for learning algorithms.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。