PATENT CLAIM ANALYSIS

Application Number: 16159566
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["717", "101000"]

Abstract:
In particular embodiments, a Cross-Border Visualization Generation System is configured to: (1) identify one or more data assets associated with a particular entity; (2) analyze the one or more data assets to identify one or more data elements stored in the identified one or more data assets; (3) define a plurality of physical locations and identify, for each of the identified one or more data assets, a respective particular physical location of the plurality of physical locations; (4) analyze the identified one or more data elements to determine one or more data transfers between the one or more data systems in different particular physical locations; (5) determine one or more regulations that relate to the one or more data transfers; and (6) generate a visual representation of the one or more data transfers based at least in part on the one or more regulations.

Claim (Index 20):
The computer-implemented data processing method of  claim 15 , wherein processing the data transfer comprises:\n generating a secure link between one or more processors associated with the first asset in the first location and a computing device associated with the second asset in the second location; transferring, via the secure link, the data of the data transfer between the first asset in the first location and the computing device associated with the second asset in the second location; and digitally storing the data of the data transfer at the computing device associated with the second asset in the second location.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.59375
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16041563', '16041545', '15996208', '16041468', '16041520']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3830514728087202
- 35 USC 102 Novelty (BERT): 0.537030490865731
- Combined Prediction Score: 0.3984493746144213
- Mean Citation Score: 293.6745499999999
- Max Citation Score: 310.10782
- Similarity Product: 213.1623248718917

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

Dataset: test