PATENT CLAIM ANALYSIS

Application Number: 16366794
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-10
Patent Classification: ["706", "012000"]

Abstract:
A feature extraction is performed on transaction data to obtain a user classification feature and a transaction classification feature. A first dimension feature is constructed based on the user classification feature and the transaction classification feature. A dimension reduction processing is performed on the first dimension feature to obtain a second dimension feature. A probability that the transaction data relates to a risky transaction is determined based on a decision classification of the second dimension feature, where the decision classification is based on a pre-trained deep forest network including a plurality of levels of decision tree forest sets.

Claim (Index 20):
The computer-implemented system of  claim 19 , wherein training the deep forest network includes:\n collecting a plurality of black samples and white samples, wherein the each black sample relates to a risky transaction, and wherein each white sample relates to a normal transaction; performing a feature extraction on data associated with the black samples and data associated with the white samples to obtain a first dimension feature; performing a dimension reduction processing on the first dimension feature to obtain a second dimension feature; and iteratively performing a training process on the deep forest network to obtain a pre-trained deep forest network, wherein the pre-trained deep forest network includes multiple levels of decision tree forest sets.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 99.0
- Lexical Diversity: 2.5122
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16366841', '12436667', '16185860', '15756263', '10993651']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.42899456343845
- 35 USC 102 Novelty (BERT): 0.5160765889480229
- Combined Prediction Score: 0.4377027659894073
- Mean Citation Score: 258.753976
- Max Citation Score: 312.76273
- Similarity Product: 227.9126378898764

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

Dataset: test