PATENT CLAIM ANALYSIS

Application Number: 15940121
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["709", "228000"]

Abstract:
A generic discovery methodology collects data pertaining to components of a computer network using various discovery technologies. From the collected data, the methodology identifies, filters and analyzes information related to inter-component communications. Using the communication and application information, the methodology determines reliable relationships for those components having sufficient information available. To qualify more components, the methodology implements a decision service to generate hypothetical relationships between components that are known and components that are unqualified or unknown. The hypothetical relationships are presented to a user for selection, and each hypothetical relationship is preferably associated with an indication of its reliability.

Claim (Index 2):
The method of  claim 1 , further comprising:\n determining, using the intercepted data communications, a second component that communicates with the first component more than a predetermined quantity of times; identifying a first application installed on the second component; determining which communication ports are used in communications between the first component and the second component; and generating a second hypothesis about a second application installed on the first component, the second hypothesis based on the communication ports used in the data communications between the first component and the second component and based on the second application.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.57971
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14164524', '11295363', '11295364', '12260438', '13250200']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2722361927777541
- 35 USC 102 Novelty (BERT): 0.5044486557093856
- Combined Prediction Score: 0.2954574390709172
- Mean Citation Score: 199.270994
- Max Citation Score: 298.80103
- Similarity Product: 238.25589055007697

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

Dataset: test