PATENT CLAIM ANALYSIS

Application Number: 16398690
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["708", "270000"]

Abstract:
A computing device computes a quantile value for a variable value extracted from an event block object by computing a bin number for the variable value. If the computed bin number is between a before bin number and an after bin number computed for a quantile, the quantile is identified. Frequency data is updated to include the extracted variable value as a key value. A frequency value associated with the key value indicates a number of occurrences of the variable value in previously processed data. A cumulative rank value of the identified quantile is updated. A quantile adjustment value is computed based on a comparison between the variable value and a current quantile value of the identified quantile. An updated quantile value associated with the identified quantile is computed using the updated frequency data, the computed quantile adjustment value, and the updated cumulative rank value of the identified quantile.

Claim (Index 5):
The non-transitory computer-readable medium of  claim 4 , wherein updating the frequency data comprises:\n determining if the extracted variable value exists in the frequency data; when the extracted variable value exists in the frequency data, updating a frequency counter of an existing node of the frequency data associated with the extracted variable value using the extracted frequency counter value; and when the extracted variable value does not exist in the frequency data, creating and adding a new node to the frequency data with the extracted variable value as a key and initializing the frequency counter of the new node using the predefined frequency counter value.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 100.0
- Lexical Diversity: 2.94444
- Patent Class: 708.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16140931', '15961373', '15946128', '14966228', '16059241']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.470466835401871
- 35 USC 102 Novelty (BERT): 0.5483741146530097
- Combined Prediction Score: 0.4782575633269849
- Mean Citation Score: 332.97335600000014
- Max Citation Score: 383.2019
- Similarity Product: 227.55666602475048

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