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 7):
The system of  claim 1 , wherein the second score represents a 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): 0.5972506821074631
- 35 USC 102 Novelty (BERT): 0.4812031174083875
- Combined Prediction Score: 0.5856459256375556
- Mean Citation Score: 205.772326
- Max Citation Score: 222.91435
- Similarity Product: 167.1890310357392

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