公开(公告)号：US20230376793A1

公开(公告)日：2023-11-23

申请号：US17749427

申请日：2022-05-20

Applicant: Nokia Solutions and Networks Oy

Inventor： Gerald Lehmann ,  Dan Kushnir ,  Maria Able ,  Gerald Meyer ,  Huseyin Uzunalioglu ,  Robert Seidl

IPC: G06N5/02

CPC classification number: G06N5/022

Abstract: Systems, methods, and software for training a machine learning model. The system utilizes training data to train the machine learning model across multiple epochs. The system prepares additional training data by: selecting a set of samples that are unclassified, operating the machine learning model to predict labels that classify the samples, determining an uncertainty of the labels predicted by the machine learning model, calculating a ranking score for each of the samples in the set, selecting a subset of the samples that have more than a threshold ranking score, and submitting the subset to a client for replacement labels. The system receives the replacement labels from the client, and trains the machine learning model, using the subset of the samples as the training data. The labels predicted by the machine learning model for the subset are replaced with corresponding replacement labels from the client.

公开(公告)号：US11556551B2

公开(公告)日：2023-01-17

申请号：US17103467

申请日：2020-11-24

Applicant: Nokia Solutions and Networks Oy

Inventor： Ahmet Akyamac ,  Huseyin Uzunalioglu

IPC: G06F17/00 ,  G06F16/2458 ,  G06N20/00

Abstract: Systems, methods, and software of processing a tabular dataset. In one embodiment, a system extracts raw association rules from the tabular dataset. Each of the raw association rules comprises a relationship between a set of antecedents and a single consequent, and corresponds to one or more transactions. The system determines potential rule merge groups of the raw association rules based on the antecedents, and determines one or more actual rule merge groups of the raw association rules in each potential rule merge group based on the transactions. The system combines the raw association rules in an actual rule merge group to generate a merged association rule. The system then generates a set of insights based on one or more merged association rules, and performs an operation based on the set of insights.

公开(公告)号：US20220164347A1

公开(公告)日：2022-05-26

申请号：US17103467

申请日：2020-11-24

Applicant: Nokia Solutions and Networks Oy

Inventor： Ahmet Akyamac ,  Huseyin Uzunalioglu

IPC: G06F16/2458 ,  G06N20/00

Abstract: Systems, methods, and software of processing a tabular dataset. In one embodiment, a system extracts raw association rules from the tabular dataset. Each of the raw association rules comprises a relationship between a set of antecedents and a single consequent, and corresponds to one or more transactions. The system determines potential rule merge groups of the raw association rules based on the antecedents, and determines one or more actual rule merge groups of the raw association rules in each potential rule merge group based on the transactions. The system combines the raw association rules in an actual rule merge group to generate a merged association rule. The system then generates a set of insights based on one or more merged association rules, and performs an operation based on the set of insights.