PATENT CLAIM ANALYSIS

Application Number: 15939893
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["717", "128000"]

Abstract:
A multivariate path-based anomaly detection and prediction service (“anomaly detector”) can generate a prediction event for consumption by the APM manager that indicates a likelihood of an anomaly occurring based on path analysis of multivariate values after topology-based feature selection. To predict that a set of metrics will travel to a cluster that represents anomalous application behavior, the anomaly detector analyzes a set of multivariate date slices that are not within a cluster to determine whether dimensionally reduced representations of the set of multivariate data slices fit a path as described by a function.

Claim (Index 3):
The method of  claim 2 , wherein selecting the first set of dimensionally reduced representations comprises selecting the first set of dimensionally reduced representations from the series.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 90.0
- Lexical Diversity: 1.48529
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15894647', '11557584', '14596151', '14586381', '15827663']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.335586372778944
- 35 USC 102 Novelty (BERT): 0.5244158089629974
- Combined Prediction Score: 0.3544693163973494
- Mean Citation Score: 142.90302880000004
- Max Citation Score: 224.49077000000003
- Similarity Product: 139.617357967186

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

Dataset: test