PATENT CLAIM ANALYSIS

Application Number: 16355439
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-09
Patent Classification: ["706", "020000"]

Abstract:
Techniques for identifying fraudulent transactions are described. In one example method, an operation sequence and time difference information associated with a transaction are identified by a server. A probability that the transaction is a fraudulent transaction is predicted based on a result provided by a deep learning network, where the deep learning network is trained to predict fraudulent transactions based on operation sequences and time differences associated with a plurality of transaction samples, and where the deep learning network provides the result in response to input including the operation sequence and the time difference information associated with the transaction.

Claim (Index 15):
A computer-implemented system for identifying fraudulent transactions, comprising:\n one or more computers; and one or more computer memory devices interoperably coupled with the one or more computers and having tangible, non-transitory, machine-readable media storing one or more instructions that, when executed by the one or more computers, perform one or more operations comprising: identifying, by a server, an operation sequence and time difference information associated with a transaction; and predicting, by the server, a probability that the transaction is a fraudulent transaction based on a result provided by a deep learning network, wherein the deep learning network is trained to predict fraudulent transactions based on operation sequences and time differences associated with a plurality of transaction samples, and wherein the deep learning network provides the result in response to input including the operation sequence and the time difference information associated with the transaction.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 99.0
- Lexical Diversity: 1.94444
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15980208', '15572082', '15921386', '15697375', '15521751']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3582458668357104
- 35 USC 102 Novelty (BERT): 0.47722554398392
- Combined Prediction Score: 0.3701438345505314
- Mean Citation Score: 158.20166799999996
- Max Citation Score: 176.34726
- Similarity Product: 124.50538581503392

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