PATENT CLAIM ANALYSIS

Application Number: 15968716
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["707", "692000"]

Abstract:
The present invention is directed toward methods and systems for data de-duplication. More particularly, in various embodiments, the present invention provides systems and methods for data de-duplication that may utilize a vectoring method for data de-duplication wherein a stream of data is divided into “data sets” or blocks. For each block, a code, such as a hash or cyclic redundancy code may be calculated and stored. The first block of the set may be written normally and its address and hash can be stored and noted. Subsequent block hashes may be compared with previously written block hashes.

Claim (Index 1):
A computerized method for vectored data de-duplication, comprising:\n comparing a de-duplication code for a first block of data in a first vessel to a de-duplication code for a previously processed block of data stored in a repository, where the first vessel stores a non-empty set of capsules, and where a capsule stores a non-empty set of blocks; and upon determining that the de-duplication code for the first block of data matches the de-duplication code for the previously processed block of data:\n storing, in the repository, in a location where the first block of data would have been placed, a vector that includes data for locating the previously processed block of data; \n where the first vessel can be recreated from the repository without reference to other de-duplication data structures, and where the repository includes self-describing data.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 93.0
- Lexical Diversity: 1.74194
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14657024', '14641525', '12019527', '13674152', '13153688']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2471574355655295
- 35 USC 102 Novelty (BERT): 0.5233316042684583
- Combined Prediction Score: 0.2747748524358224
- Mean Citation Score: 326.931934
- Max Citation Score: 363.71307
- Similarity Product: 360.7623862553573

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