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 15):
An apparatus, comprising:\n a processor; a memory; a set of computer hardware components that perform vector based de-duplication for a vessel of computer-readable data blocks, where the vessel stores a non-empty set of capsules, and where a capsule stores a non-empty set of blocks; and an interface that connects the processor, the memory, and the set of computer hardware components, where the set of computer hardware components includes:\n a first hardware component that identifies whether a candidate block of data in the vessel is a duplicate of a stored block of data in the vessel by comparing a de-duplication code for the candidate block of data and a de-duplication code for the stored block of data; and \n a second hardware component that selectively replaces the candidate block of data with a vector.

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): 0.24754822344924
- 35 USC 102 Novelty (BERT): 0.5237614954295119
- Combined Prediction Score: 0.2751695506472672
- Mean Citation Score: 326.931934
- Max Citation Score: 363.71307
- Similarity Product: 336.16202416543007

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

Dataset: test