PATENT CLAIM ANALYSIS

Application Number: 16051985
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
A method is used in managing data reduction in storage systems using machine learning. A value representing a data reduction assessment for a first data block in a storage system is calculated using a hash of the data block. The value is used to train a machine learning system to assess data reduction associated with a second data block in the storage system without performing the data reduction on the second data block, where assessing data reduction associated with the second data block indicates a probability as to whether the second data block can be reduced.

Claim (Index 5):
The method of  claim 4 , wherein the data reduction assessment for the second data block is a compressibility associated with the second data block.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 96.0
- Lexical Diversity: 2.17391
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14283031', '14319205', '15625970', '14688939', '14169689']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5523651359025372
- 35 USC 102 Novelty (BERT): 0.4746056798080406
- Combined Prediction Score: 0.5445891902930875
- Mean Citation Score: 126.599417
- Max Citation Score: 131.63953
- Similarity Product: 84.34029117601813

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

Dataset: test