PATENT CLAIM ANALYSIS

Application Number: 15943623
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["707", "693000"]

Abstract:
Data may be efficiently analyzed and compressed as part of a data compression service. A data compression request may be received from a client indicating data to be compressed. An analysis of the data or metadata associated with the data may be performed. In at least some embodiments, this analysis may be a rules-based analysis. Some embodiments may employ one or more machine learning techniques to historical compression data to update the rules-based analysis. One or more compression techniques may be selected out of a plurality of compression techniques to be applied to the data. Data compression candidates may then be generated according to the selected compression techniques. In some embodiments, a compression service restriction may be enforced. One of the data compression candidates may be selected and sent in a response.

Claim (Index 38):
The method of  claim 33 , wherein the compression criteria for the compressed version of the data is evaluated according to an entropy threshold.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 91.0
- Lexical Diversity: 2.34426
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13900350', '15199627', '13747169', '15385772', '13953432']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2189692997315497
- 35 USC 102 Novelty (BERT): 0.4848833019207787
- Combined Prediction Score: 0.2455606999504726
- Mean Citation Score: 170.14400600000005
- Max Citation Score: 220.49149
- Similarity Product: 168.28245315746904

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