PATENT CLAIM ANALYSIS

Application Number: 16054272
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
System and a method for detecting fraudulent activity of a user are described. The system receives data based on user's activity. The system determines a first score for the activity. The system compares the first score with a first predefined threshold. If the first score is greater than the first predefined threshold, the system classifies the activity as a potential fraud activity OR computes a second score for the activity. The system compares the second score with a second predefined threshold. If the second score is less than the second predefined threshold, the system classifies the activity as a non-fraudulent activity OR designates the activity as a potential fraud activity. The system generates and transmits a graphical model to the user. The system determines the potential fraud activity as a fraudulent activity based upon predefined rules or inputs received from the user based upon the analysis of the graphical model.

Claim (Index 9):
The system of  claim 8 , wherein the predefined set of rules comprises at least one of blocking the activity of an account holder, blocking an account of the account holder if the first score, or the second score represents a high probability of the activity of being fraud, and notifying the user about the high probability of the activity of being fraud.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 2.94545
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13853884', '12553047', '14922643', '12829854', '15015892']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5913989529844447
- 35 USC 102 Novelty (BERT): 0.5065112508447608
- Combined Prediction Score: 0.5829101827704763
- Mean Citation Score: 205.772326
- Max Citation Score: 222.91435
- Similarity Product: 118.4347015993178

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

Dataset: test