PATENT CLAIM ANALYSIS

Application Number: 16124126
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["707", "746000"]

Abstract:
A flexible approach for storing time series data, utilizes multiple representations in order to achieve optimization amongst various dimensions such as covered time period, accuracy, compression model, and storage medium. A first aspect selectively provides different representations for various portions of a time series along the time axis (horizontal). In this horizontal aspect, a first compression model may be applied to store data occurring during one period in a time series, while a different compression model is applied to store data during another period. In a separate (vertical) aspect, time series data over a same time period may be saved in multiple representations using different compression models. While increasing demands on memory, such vertical storage can afford efficient access for specific purposes (i.e., analytical). Storing time series data according to horizontal and/or vertical distributions, may be useful for applications such as data aging and the optimization of operator execution patterns.

Claim (Index 13):
A non-transitory computer readable storage medium as in  claim 11  wherein the horizontal configuration is based upon a data aging process.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.97701
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14961502', '14961456', '13685263', '15693029', '15226675']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.187607947561648
- 35 USC 102 Novelty (BERT): 0.5358935658395054
- Combined Prediction Score: 0.2224365093894337
- Mean Citation Score: 213.178964
- Max Citation Score: 363.08438
- Similarity Product: 273.2340016351509

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

Dataset: test