公开(公告)号：US20200014803A1

公开(公告)日：2020-01-09

申请号：US16573217

申请日：2019-09-17

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhengbing LI ,  Fangshan WANG

IPC: H04M15/00

Abstract: A tariff data determining method and apparatus are disclosed. The method includes: obtaining a call detail record set, wherein each call detail record includes a charging condition, a charging unit and a fee deduction that are under the charging condition; grouping a plurality of call detail records to obtain a call detail record group, wherein a same value corresponding to a charging unit in the call detail record group has a correspondence with a unique fee value corresponding to a fee deduction; analyzing the call detail record group to obtain a data feature; selecting a target tariff model corresponding to the data feature; determining a parameter value corresponding to each tariff parameter in the target tariff model; and determining tariff data based on the parameter value, the target tariff model, and the charging condition.

公开(公告)号：US20220368604A1

公开(公告)日：2022-11-17

申请号：US17624190

申请日：2020-07-01

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zhengbing LI ,  Ping FANG

IPC: H04L41/147 ,  H04L45/74

Abstract: This application provides a traffic flow identification method and apparatus, and a model generation method and apparatus. The traffic flow identification method includes: A first device obtains a to-be-identified traffic flow, collects statistics about packet header information in the to-be-identified traffic flow in a preset time window, to obtain to-be-identified packet header statistics information, and obtains to-be-identified terminal-side information based on the to-be-identified traffic flow. Further, the first device determines a type of the to-be-identified traffic flow based on the to-be-identified terminal-side information and the to-be-identified packet header statistics information by using a traffic flow identification model. Therefore, the first device can fully consider, by using the traffic flow identification model, attribute information of a device associated with the traffic flow, to improve an identification rate of the type of the traffic flow, and ensure an identification effect of the type of the traffic flow.