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WATER USAGE PATTERN-BASED USER PROFILING METHOD AND SYSTEM

机译:基于水资源模式的用户分析方法和系统

摘要

A water usage pattern-based user profiling method and system, comprising the following steps: (1) collecting water usage data and a user type label of a user; (2) extracting from the collected water usage data the average water usage of several periods to serve as eigenvectors, combining with the type label of the user to construct a training sample set, constructing a depth-stratified fuzzy system on the basis of an automatic machine learning technique, utilizing the training sample set to train the system, thus constructing a classification model; and (3) inputting the collected water usage data of the user into the constructed classification model, thus completing user profiling. The method, by means of user profiling, combines characteristics of individual users and user groups, thus providing individual users with a service of increased accuracy, and implementing a reasonable allocation of resources between areas.
机译:基于水的使用模式的用户分析方法和系统,包括以下步骤:(1)收集水的使用数据和用户的用户类型标签; (2)从收集的水使用数据中提取数数据的平均用水量用作特征向量,与用户的类型标签相结合,以构建训练样本集,基于自动构建深度分层的模糊系统。 机器学习技术,利用训练样本设置训练系统,从而构建分类模型; (3)将用户的收集的水使用数据输入到构造的分类模型中,从而完成用户分析。 通过用户分析,该方法组合了各个用户和用户组的特征,从而为各个用户提供了提高的精度,并在区域之间实现了合理的资源分配。

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