PATENT CLAIM ANALYSIS

Application Number: 15934825
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["706", "012000"]

Abstract:
Embodiments are directed towards managing data. A data engine provides a data model that may include a plurality of concepts and a plurality of relations between the concepts. The data engine associates a propagation weight with each relation based on characteristics of the concepts. A feature engine associates an initial impetus value with a pivot concept. The feature engine employs the pivot concept as a start point to recursively traverse the data model. The feature engine allocates a portion of the impetus value to concepts that may be on a direct path of the traversal based on the propagation weight associated with each relation of the concepts. The feature engine may identify feature concepts based on a value of a portion of the impetus value that exceeds a threshold.

Claim (Index 13):
A processor readable non-transitory storage media that includes instructions for managing data, wherein execution of the instructions by one or more hardware processors performs actions, comprising:\n instantiating a data engine that performs actions, including:\n providing a data model that includes a plurality of concepts and a plurality of relations between the concepts, wherein each concept is a node in the data model and each relation is an edge in the data model; and \n associating a propagation weight with each relation based on one or more characteristics of the plurality of concepts, wherein the propagation weight is based on one or more heuristics that are determined prior to training of a machine learning model; and \n instantiating a feature engine that performs actions, including:\n associating an initial impetus value with a pivot concept, wherein a query is employed to select one of the plurality of concepts as the pivot concept; \n employing the pivot concept as a start point to recursively traverse the data model; \n allocating a portion of the impetus value to one or more concepts that are on a direct path of the traversal based on the propagation weight associated with each relation of the one or more concepts; and \n identifying one or more of the plurality concepts as a feature concept based on a value of a portion of the impetus value that exceeds a threshold, wherein one or more of the feature concepts or the data model are visually presented in a display to a user, and wherein internal processes, databases, and elements of the visual presentation are modified based on geo-location information of the user provided by a global positioning system (GPS) device, and wherein the modified elements include one or more of a time zone, language, currency, or calendar format; and \n instantiating a machine learning engine to employ the one or more feature concepts to train the machine learning model, wherein the use of the one or more feature concepts reduces one or more computing resources required to train the machine learning model.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 90.0
- Lexical Diversity: 2.42857
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15848777', '15799322', '15425695', '14584414', '15913864']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3758944470836124
- 35 USC 102 Novelty (BERT): 0.4585240208719924
- Combined Prediction Score: 0.3841574044624504
- Mean Citation Score: 141.31297999999995
- Max Citation Score: 148.26102
- Similarity Product: 114.431944059155

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