PATENT CLAIM ANALYSIS

Application Number: 15904489
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["370", "216000"]

Abstract:
In some examples, a system generates event records representing anomalous events associated with respective devices in a network, each respective anomalous event of the anomalous events being identified as anomalous for a respective context of a device of the devices. The system clusters the event records to produce a plurality of clusters of the event records. The system outputs the plurality of clusters for application of a remediation of an issue in the network.

Claim (Index 1):
A non-transitory machine-readable storage medium storing instructions that upon execution cause a system to:\n generate event records representing anomalous events associated with respective devices in a network, each respective anomalous event of the anomalous events being identified as anomalous for a respective context of a device of the devices; cluster the event records to produce a plurality of clusters of the event records; output the plurality of clusters for application of a remediation of an issue in the network; determine a change, over time, of a characteristic of a given cluster of the plurality of clusters; and based on the change, over time, of the characteristic of the given cluster, determine whether the remediation applied to the issue in the network is effective.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 88.0
- Lexical Diversity: 2.07895
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14718277', '14990161', '15264975', '14449051', '15184607']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5429937261635116
- 35 USC 102 Novelty (BERT): 0.4667154652680136
- Combined Prediction Score: 0.5353659000739618
- Mean Citation Score: 137.94104399999998
- Max Citation Score: 145.71454
- Similarity Product: 107.48823786770224

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