PATENT CLAIM ANALYSIS

Application Number: 16231645
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["714", "037000"]

Abstract:
A system and method for predictive ticketing in information technology (IT) systems. The method includes extracting a plurality of features from monitoring data related to an IT system, wherein the plurality of features includes at least one incident parameter, wherein the monitoring data includes machine-generated textual data; applying a machine learning model to the extracted plurality of features, wherein the machine learning model is configured to output a suitable insight for an incident represented by the at least one incident parameter, wherein the suitable insight is selected from among a plurality of historical insights; and generating a predictive ticket based on the suitable insight, wherein the predictive ticket includes a textual description of an expected future symptom in the IT system.

Claim (Index 11):
A system for predictive ticketing in information technology (IT) systems, comprising:\n a processing circuitry; and a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to: extract a plurality of features from monitoring data related to an IT system, wherein the plurality of features includes at least one incident parameter, wherein the monitoring data includes machine-generated textual data; apply a machine learning model to the extracted plurality of features, wherein the machine learning model is configured to output a suitable insight for an incident represented by the at least one incident parameter, wherein the suitable insight is selected from among a plurality of historical insights; and generate a predictive ticket based on the suitable insight, wherein the predictive ticket includes a textual description of an expected future symptom in the IT system.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 98.0
- Lexical Diversity: 2.09524
- Patent Class: 714.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15785863', '13672365', '14929961', '12556275', '12428337']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.303448603197107
- 35 USC 102 Novelty (BERT): 0.4982094111468851
- Combined Prediction Score: 0.3229246839920848
- Mean Citation Score: 199.407418
- Max Citation Score: 283.70673
- Similarity Product: 235.44392749389053

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

Dataset: test