Data processing method, device and equipment and medium

The invention discloses a data processing method, device and equipment and a medium. The method comprises the steps: acquiring a plurality of target data sets, wherein each target data set comprises service index data of one time point of N periods, the N periods are the first N periods of the target period, and N is an arbitrary integer; inputting the plurality of target data sets into a pre-trained time recursion neural network model, and outputting probability distribution characteristics of service index data of a target time point, the target time point being one of time points corresponding to the plurality of target data sets in a target period; and determining whether the actual value of the business index data of the target time point is abnormal or not according to the probability distribution characteristics. According to the embodiment of the invention, the data processing accuracy can be improved. 本申请公开了数据处理方法、装置、设备和介质。该方法包括：获取多个目标数据集，其中，每个目标数据集包括N个周期的一个时间点的业务指标数据，N个周期是目标周期的前N个周期，N为任意整数；将多个目标数据集输