17919884. METHODS, APPARATUS AND MACHINE-READABLE MEDIA RELATING TO DATA ANALYTICS IN A COMMUNICATIONS NETWORK simplified abstract (Telefonaktiebolaget LM Ericsson (publ))

METHODS, APPARATUS AND MACHINE-READABLE MEDIA RELATING TO DATA ANALYTICS IN A COMMUNICATIONS NETWORK

Organization Name

Telefonaktiebolaget LM Ericsson (publ)

Inventor(s)

[[:Category:Miguel Angel Puente Pesta�a of MADRID (ES)|Miguel Angel Puente Pesta�a of MADRID (ES)]][[Category:Miguel Angel Puente Pesta�a of MADRID (ES)]]

METHODS, APPARATUS AND MACHINE-READABLE MEDIA RELATING TO DATA ANALYTICS IN A COMMUNICATIONS NETWORK - A simplified explanation of the abstract

This abstract first appeared for US patent application 17919884 titled 'METHODS, APPARATUS AND MACHINE-READABLE MEDIA RELATING TO DATA ANALYTICS IN A COMMUNICATIONS NETWORK

Simplified Explanation

The abstract describes a method performed by a data analytics entity for a communications network. The method involves receiving a request message from another data analytics entity, which includes a model generated by the second entity using a machine-learning algorithm and an indication of an analytic to be calculated. The first entity applies the model to its own dataset to measure its accuracy and transmits a response message to the second entity indicating the accuracy of the model when applied to the first dataset.

• The method involves a data analytics entity in a communications network.
• The first entity receives a request message from a second entity.
• The request message includes a model generated by the second entity using a machine-learning algorithm.
• The request message also includes an indication of an analytic to be calculated.
• The first entity applies the model to its own dataset to measure its accuracy.
• The first entity transmits a response message to the second entity.
• The response message includes an indication of the accuracy of the model when applied to the first dataset.

Potential Applications

• This method can be used in various communications networks, such as telecommunications or internet service providers.
• It can be applied to analyze network data and improve network performance.
• The method can assist in identifying patterns or anomalies in network behavior.

Problems Solved

• The method allows for the evaluation of a model generated by one data analytics entity using the dataset of another entity.
• It helps in measuring the accuracy of the model when applied to a different dataset.
• The method facilitates collaboration and knowledge sharing between different data analytics entities.

Benefits

• The method enables the comparison and evaluation of machine-learning models across different datasets.
• It allows for the assessment of model accuracy and performance in different network environments.
• The method promotes collaboration and information exchange between data analytics entities in a communications network.

Original Abstract Submitted

There is provided a method performed by a first data analytics entity for a communications network. The first data analytics entity has access to a first dataset of network data. The method comprises: receiving a request message from a second data analytics entity for the communications network, the request message comprising a model generated by the second data analytics entity using a machine-learning algorithm based on a second dataset to which the second data analytics entity has access, and an indication of an analytic to be calculated by the model; applying the model to the first dataset to measure the accuracy of the model; and transmitting a response message to the second data analytics entity comprising an indication of the accuracy of the model when applied to the first dataset.