PATENT CLAIM ANALYSIS

Application Number: 15996866
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["726", "023000"]

Abstract:
A disclosed computer-implemented method includes receiving and indexing the raw data. Indexing includes dividing the raw data into time stamped searchable events that include information relating to computer or network security. Store the indexed data in an indexed data store and extract values from a field in the indexed data using a schema. Search the extracted field values for the security information. Determine a group of security events using the security information. Each security event includes a field value specified by a criteria. Present a graphical interface (GI) including a summary of the group of security events, other summaries of security events, and a remove element (associated with the summary). Receive input corresponding to an interaction of the remove element. Interacting with the remove element causes the summary to be removed from the GI. Update the GI to remove the summary from the GI.

Claim (Index 23):
The method as recited in  claim 21 , further comprising:\n changing a visual appearance of a particular event group summary among the plurality of event group summaries to indicate that the particular event group summary is a potential security threat.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 94.0
- Lexical Diversity: 2.10526
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15421420', '15056999', '14280311', '13956285', '15339955']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3521582229316159
- 35 USC 102 Novelty (BERT): 0.5508922279193532
- Combined Prediction Score: 0.3720316234303897
- Mean Citation Score: 370.368526
- Max Citation Score: 426.78363
- Similarity Product: 351.3989464037812

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