PATENT CLAIM ANALYSIS

Application Number: 16049286
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["709", "224000"]

Abstract:
Method and system for analyzing temporal data includes obtaining a first data set of temporal data of a first size and transforming the temporal data into a computer generated temporal graph containing a set of predefined data properties. The method includes generating a time decay function of a selected temporal attribute and fitting the time decay function into a temporal distribution of the selected temporal attribute in the temporal graph, selecting a data sampling time window in the temporal graph defining a second data set of temporal data of a second size less than the first size based on the time decay function, such that the set of predefined data properties is substantially preserved within the data sampling window, sampling data from the data source within the selected data sampling time window and generating a computer generated temporal subsample graph of the predefined data properties of the sampled network data.

Claim (Index 3):
The method of  claim 2 , further comprising:\n presenting the selected data sampling time window and the calculated metrics of the set of the predefined data properties to a user interface; receiving an input on the user interface adjusting the data sampling time window; recalculating the metrics of the predefined data properties based on the adjusted data sampling time window; presenting the recalculated metrics of the predefined data properties to the user interface; sampling data from the data source based on the adjusted data sampling time window; and generating a temporal graph of the recalculated metrics of the predefined data properties of the sampled data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 2.76786
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14974711', '15838233', '13422535', '15046698', '15453706']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2124269440063777
- 35 USC 102 Novelty (BERT): 0.5554645612520944
- Combined Prediction Score: 0.2467307057309494
- Mean Citation Score: 200.803886
- Max Citation Score: 417.50296
- Similarity Product: 365.1141178062248

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