A CLASSIFIER MODEL FOR DETERMINING A NETWORK STATUS OF A COMMUNICATION NETWORK FROM LOG DATA
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United States of America Patent
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Jul 25, 2024
app pub date -
May 28, 2021
filing date -
May 28, 2021
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Abstract
A method includes extracting, from first log data relating to operations of wireless devices and/or nodes in the communication network, textual elements and numerical elements; transforming the textual elements to a first vector space to determine respective textual element vectors; transforming the numerical elements to a second vector space to determine respective numerical element vectors; embedding and clustering the textual element vectors and the numerical element vectors to determine clusters of embedded vectors, wherein the embedding includes, for a plurality of wireless device sessions, embedding at least one textual element vector and at least one numerical element vector into a single embedded vector representing the particular wireless device session; and training a classifier model to determine a network status from second log data, wherein the classifier model is trained using the plurality of clusters of embedded vectors.
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