PATENT CLAIM ANALYSIS

Application Number: 16140393
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["709", "226000"]

Abstract:
Techniques for processing data according to customer-defined rules are disclosed. In particular, methods and systems for implementing a data alteration service using one or resources of a distributed computing system are described. The data alteration service is flexibly configurable by entities using the distributed computing system, and may be used to augment, compress, filter or otherwise modify data crossing a customer boundary.

Claim (Index 21):
A computer-implemented method comprising:\n obtaining a request to apply upon transiting data at least one data transformation technique provided by a managed data transformation provider that is external to a computing resource provider; and configuring at least a first set of computing resources to implement a policy derived based at least in part on customer-defined rules to cause a transiting first set of data to pass to a second set of computing resources of the computing resource provider that applies the customer-defined rules to the transiting first set of data prior to reaching a third set of computing resources that are outside of control of a customer of the computing resource provider that defines the customer-defined rules, with at least a portion of the transiting first set of data processed in accordance with at least one first rule provided by the managed data transformation provider and at least one second rule associated with the requested data transformation technique.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 97.0
- Lexical Diversity: 1.4375
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13491403', '13923004', '13168508', '14265158', '14096783']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2825215591303093
- 35 USC 102 Novelty (BERT): 0.5043632412224905
- Combined Prediction Score: 0.3047057273395274
- Mean Citation Score: 162.355074
- Max Citation Score: 252.45096
- Similarity Product: 216.2648220888805

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