PATENT CLAIM ANALYSIS

Application Number: 15966887
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["707", "611000"]

Abstract:
Examples disclosed herein relate to a method comprising generating a first and a second set of unique identifiers for each row in each table of a first and second database, respectively. The first and second database may be configured to operate a first and second switch operating traffic on a network, respectively. The first switch and the second switch may be configured to operate traffic on the network. The method may also include creating a mapping between the first set of unique identifiers and the second set of unique identifiers and determining that a first row of the first database is marked to be synchronized, the first row corresponding to a first unique row ID. The method may also include retrieving, from a second row of the second database corresponding to a second unique row ID mapped to the first unique row ID and updating the second row.

Claim (Index 9):
The method of  claim 8 , wherein generating the mapping comprises:\n identifying, based on the first unique identifier in the first set of unique identifiers, the second unique identifier from the second set of unique identifiers by iterating through each of the first, second, third, and fourth hashmaps.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 3.01923
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14075676', '14033251', '12837681', '12402024', '13105536']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2018049554362215
- 35 USC 102 Novelty (BERT): 0.4773596803419151
- Combined Prediction Score: 0.2293604279267909
- Mean Citation Score: 111.9601128
- Max Citation Score: 113.27343
- Similarity Product: 70.82969237252355

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