Features selection and pattern mining for KQI prediction and cause analysis
US10332056B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 14, 2016 |
| Grant date | Jun 25, 2019 |
| Priority date | — |
| Expiry date | Apr 28, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/06395
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.