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 1):
A system for detecting fraudulent activities of a user, the system comprising:\n a processor; and a memory coupled with the processor, wherein the processor is configured to execute a plurality of programmed instructions stored in the memory, the plurality of programmed instructions comprises:\n receiving, data based on an activity performed by a user; \n determining, a first score for the activity based upon the data of one or more historical activities similar to the activity; \n classifying, the activity as a potential fraud activity, when the first score is greater than a first predefined threshold; \n computing, a second score for the activity based upon one or more data sets from a predefined learning set using a machine learning technique, when the first score is less than the first predefined threshold; \n classifying, the activity as a potential fraud activity, when the second score is greater than a second predefined threshold; \n generating, a graphical model representing a network of flow of one or more activities related to the activity, when the activity is designated as the potential fraud activity; \n and \n determining, the potential fraud activity as a fraud activity based upon the analysis of the graphical model using a predefined set of rules.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 2.94545
- Patent Class: nan
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13853884', '12553047', '14922643', '12829854', '15015892']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5687413232989933
- 35 USC 102 Novelty (BERT): 0.4772661080767653
- Combined Prediction Score: 0.5595938017767705
- Mean Citation Score: 205.772326
- Max Citation Score: 222.91435
- Similarity Product: 170.3586337785244

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