PATENT CLAIM ANALYSIS

Application Number: 15934759
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["709", "224000"]

Abstract:
Techniques for managing networked node transactions are disclosed. A plurality of classifier digital fingerprints that each comprise a bit sequence are each associated with a respective result classifier. The fingerprint generator receives transaction event entries that contain message text associated with a transaction between two or more nodes. The fingerprint generator generates a digital fingerprint for each of the transaction event entries. Each of the generated digital fingerprints comprises a bit sequence that is associated with an identity of at least one of the two or more nodes, and generating each of the fingerprints includes, for each bit position in the fingerprint bit sequence, determining whether the message text includes a specified text pattern and setting the bit position value based on the determination of whether the message text includes the specified text pattern. An event classifier groups each digital fingerprint into one or more event classification sets that each correspond to one of the result classifiers based, at least in part, on pattern matching the generated digital fingerprint with the classifier digital fingerprints.

Claim (Index 12):
The machine-readable media of  claim 11 , further comprising program code to:\n generate diagnostic digital fingerprints for each the one or more event classification sets; and determine a causal property for the fault event set based on regression processing of the associated digital fingerprints with respect to the diagnostic digital fingerprints.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 90.0
- Lexical Diversity: 2.43421
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15073543', '14558079', '13790636', '13327359', '13227360']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2112788620597854
- 35 USC 102 Novelty (BERT): 0.5335702868763983
- Combined Prediction Score: 0.2435080045414467
- Mean Citation Score: 183.875746
- Max Citation Score: 360.73215
- Similarity Product: 279.51425640705224

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

Dataset: test