PATENT CLAIM ANALYSIS

Application Number: 16112977
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["379", "114140"]

Abstract:
A system and method for fraud detection for a telephony platform based on an analysis of call detail records (CDRs) that are generated by the telephony platform. The analysis is based on collecting, organizing, transforming, analyzing, and quantifying the CDR data into a plurality of data analytics and data correlations and then applying fuzzy logic to the data analytics to generate a fraud risk rating for each incoming call into the platform.

Claim (Index 17):
The fraud detection system of  claim 16 , wherein the linguistic variable is modeled as a fuzzy set.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 96.0
- Lexical Diversity: 1.56863
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15646532', '15658994', '10346636', '10627033', '10970318']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5239050270790371
- 35 USC 102 Novelty (BERT): 0.6949051995550323
- Combined Prediction Score: 0.5410050443266367
- Mean Citation Score: 288.279068
- Max Citation Score: 602.6343400000002
- Similarity Product: 505.1360617778636

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

Dataset: test