PATENT CLAIM ANALYSIS

Application Number: 16256807
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-06
Patent Classification: ["726", "022000"]

Abstract:
Described are techniques to enable computers to efficiently determine if they should run a program based on an immediate (i.e., real-time, etc.) analysis of the program. Such an approach leverages highly trained ensemble machine learning algorithms to create a real-time discernment on a combination of static and dynamic features collected from the program, the computer's current environment, and external factors. Related apparatus, systems, techniques and articles are also described.

Claim (Index 45):
The method as in  claim 31 , wherein the preventing of at least the portion of the program from executing or continuing to execute comprises blocking at least the portion of the program from loading into memory.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 99.0
- Lexical Diversity: 1.41379
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14616509', '15252106', '15615609', '14663701', '15216661']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3067137368156346
- 35 USC 102 Novelty (BERT): 0.5159098321295382
- Combined Prediction Score: 0.3276333463470249
- Mean Citation Score: 199.331836
- Max Citation Score: 297.80548
- Similarity Product: 201.1735231947684

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