PATENT CLAIM ANALYSIS

Application Number: 16239181
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-06
Patent Classification: ["717", "174000"]

Abstract:
The method for model management includes, within a testing platform: building candidate model(s), validating the candidate model(s), and selectively deploying the candidate model(s) into a production environment. The method can optionally include, within a production environment: detecting a class instance based on the raw data using deployed model(s) within the production environment, and transmitting a notification to an endpoint associated with the detected class.

Claim (Index 1):
A computer-implemented method comprising:\n labeling raw data from a set of data sources; detecting a concept drift rate for a geographic region from the raw data; detecting an occurrence of an event class at a deployed event detection model based on features of the raw data; identifying labeled raw data associated with the event class; segmenting the identified labeled raw data into a training data set and a testing data set; training a seed model with the training data set generating an event class candidate model specific to the geographic region in response to detecting the concept drift rate by determining candidate model evaluation metric values using the testing data set; in response to the candidate model evaluation metric values satisfying a set of deployment conditions, deploying the event class candidate model; and detecting a subsequent occurrence of the event class based on subsequent raw data received from the set of data sources, using the event class candidate model.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 99.0
- Lexical Diversity: 1.84783
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16047932', '14578205', '16128667', '15214302', '11638732']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3460013246456608
- 35 USC 102 Novelty (BERT): 0.5175921989948199
- Combined Prediction Score: 0.3631604120805768
- Mean Citation Score: 157.822012
- Max Citation Score: 295.98618
- Similarity Product: 249.07016054358243

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test