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1. (WO2017157171) FEATURES SELECTION AND PATTERN MINING FOR KQI PREDICTION AND CAUSE ANALYSIS

Pub. No.:    WO/2017/157171    International Application No.:    PCT/CN2017/075362
Publication Date: Fri Sep 22 01:59:59 CEST 2017 International Filing Date: Thu Mar 02 00:59:59 CET 2017
IPC: H04W 24/08
Applicants: HUAWEI TECHNOLOGIES CO., LTD.
Inventors: YANG, Kai
SUN, Yanjia
LIU, Ruilin
Title: FEATURES SELECTION AND PATTERN MINING FOR KQI PREDICTION AND CAUSE ANALYSIS
Abstract:
The disclosure relates to technology for processing data sets to generate data rules for the data sets in a communications network. A first set of data including key quality indicators (KQIs) indicative of a quality of service and a second set of data including key performance indicators (KPIs) indicative of a performance level are received. The first data set and the second data set are categorized using a first value into a plurality of KQI groups and a second value into a plurality of KPI groups, respectively. Each of the KQI and KPI groups are identified with a label. Each of the KQI and KPI groups identified with a same label are processed by application of association rule learning to generate the data rules. The data rules model a relationship between the KQIs and the KPIs by calculating association frequencies.