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 20):
The fraud detection system of  claim 19 , wherein:\n the at least one analytics metric comprises\n a total number of calls made by the caller device, \n a total number of applications called in to by the caller device, \n a total amount of time expended by the caller device on the telephony platform, \n a total number of call legs involving the caller device, \n a total number of unique days on which a call signal was received from the caller device, \n a total number of time periods during that the caller device has not interacted with the telephony platform, \n a total time period that the caller device has not interacted with the telephony platform, or \n a total length of time covered by the history records associated with the metadata in the incoming call signal; and \n the one more analytical facets comprise\n an all-inclusive facet, \n an IVR facet, or \n an IVR-group facet.

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): 0.5299740304451135
- 35 USC 102 Novelty (BERT): 0.681131120416619
- Combined Prediction Score: 0.545089739442264
- Mean Citation Score: 288.279068
- Max Citation Score: 602.6343400000002
- Similarity Product: 451.19435554538495

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