PATENT CLAIM ANALYSIS

Application Number: 16379470
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-10
Patent Classification: ["707", "738000"]

Abstract:
A hierarchical structure (e.g., a hierarchy) for use in hierarchical analysis (e.g., hierarchical forecasting) of timestamped data can be automatically generated. This automated approach to determining a hierarchical structure involves identifying attributes of the timestamped data, clustering the timestamped data to select attributes for the hierarchy, ordering the attributes to achieve a recommended hierarchical order, and optionally modifying the hierarchical order based on user input. Through the approach disclosed herein, a hierarchy can be generated that is designed to perform well under hierarchical models. This recommended hierarchy for use in hierarchical analysis may be agnostic to any planned hierarchy provided by or used by a user to otherwise interpret the timestamped data.

Claim (Index 30):
A system, comprising:\n one or more data processors; and a non-transitory computer-readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform operations including:\n receiving timestamped data, wherein the timestamped data comprises a plurality of observations, wherein the timestamped data is associated with a set of attributes and a set of independent variables, wherein the set of attributes comprises one or more time-independent attributes, and wherein the set of independent variables comprises one or more independent variables; \n applying a factorization machine to the timestamped data, wherein the factorization machine utilizes variables and targets, wherein applying the factorization machine comprises using the plurality of observations as the targets of the factorization machine and the set of independent variables as the variable of the factorization machine, and wherein applying the factorization machine results in a set of cross features each having a weight value; \n extracting the weight values for each of the set of cross features; \n generating cluster results using the weight values for each of the set of cross features, wherein the cluster results are usable to cluster the timestamped data for analyzing the timestamped data; and \n displaying the clustered timestamped data.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 100.0
- Lexical Diversity: 1.96875
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16193661', '15927610', '16233302', '15922317', '15087148']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1709600535780405
- 35 USC 102 Novelty (BERT): 0.4824671529696303
- Combined Prediction Score: 0.2021107635171995
- Mean Citation Score: 191.354548
- Max Citation Score: 208.3085
- Similarity Product: 161.45631615549323

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

Dataset: test