PATENT CLAIM ANALYSIS

Application Number: 15758739
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["709", "224000"]

Abstract:
An anomaly detection apparatus for detecting data flow anomalies classes a plurality of data flows on the basis of similarity in time series changes in the data amounts of the data flows; calculates a correlation coefficient at a normal time and a correlation coefficient at a certain timing between at least two data flows belonging to the same class; and determines that at least one of the at least two data flows is anomalous when a difference between the correlation coefficient at the normal time and the correlation coefficient at the certain timing is greater than a predetermined threshold.

Claim (Index 5):
The anomaly detection apparatus according to  claim 2 , wherein\n a contrast time which is configured as a range of a calculation target of a correlation coefficient with respect to time series changes in data amounts of data flows is common among data flows belonging to a same class.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 90.0
- Lexical Diversity: 2.0
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12092997', '13144295', '15816483', '12837882', '15429900']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2645025367307996
- 35 USC 102 Novelty (BERT): 0.4614402553785735
- Combined Prediction Score: 0.284196308595577
- Mean Citation Score: 124.1503352
- Max Citation Score: 140.19121
- Similarity Product: 104.76370035588204

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