Oracle international corporation (20240126798). PROFILE-ENRICHED EXPLANATIONS OF DATA-DRIVEN MODELS simplified abstract

PROFILE-ENRICHED EXPLANATIONS OF DATA-DRIVEN MODELS

Organization Name

oracle international corporation

Inventor(s)

Arno Schneuwly of Effretikon (CH)

Desislava Wagenknecht-dimitrova of Kanton Bern (CH)

Felix Schmidt of Baden-Dattwil (CH)

Marija Nikolic of Zurich (CH)

Matteo Casserini of Zurich (CH)

Milos Vasic of Zurich (CH)

Renata Khasanova of Zurich (CH)

PROFILE-ENRICHED EXPLANATIONS OF DATA-DRIVEN MODELS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240126798 titled 'PROFILE-ENRICHED EXPLANATIONS OF DATA-DRIVEN MODELS

Simplified Explanation

The patent application describes a system where a computer stores explanation profiles, log entries, and definitions of features contained in the log entries. The system aggregates similar features based on logic statements, calculates statistics for features based on specified entities, and generates local explanations for inferences based on new log entries and statistics.

• Explanation profiles, log entries, and feature definitions stored in memory or storage
• Aggregation of similar features based on logic statements
• Materialization of statistics for features based on specified entities
• Generation of local explanations for inferences based on new log entries and statistics
• Use of explanation text templates for generating local explanations

Potential Applications

This technology could be applied in various fields such as cybersecurity, anomaly detection, predictive maintenance, and data analysis.

Problems Solved

1. Efficiently analyzing and interpreting large volumes of log data 2. Providing contextual explanations for inferences drawn from log entries

Benefits

1. Improved understanding of system behaviors and anomalies 2. Enhanced decision-making based on real-time log data analysis

Potential Commercial Applications

Optimizing IT operations, enhancing cybersecurity measures, improving predictive maintenance processes, and streamlining data analysis in various industries.

Possible Prior Art

Prior art may include systems for log data analysis, anomaly detection, and statistical inference generation in the field of data analytics.

Unanswered Questions

How does the system handle real-time log entry streams for inference generation?

The patent application mentions the possibility of processing live log entries for generating inferences, but it does not provide detailed information on the real-time processing capabilities of the system.

What types of logic statements are used for aggregating similar features in the log entries?

While the abstract mentions the aggregation of features based on logic statements, it does not specify the exact types of logic statements or algorithms used for this purpose.

Original Abstract Submitted

in an embodiment, a computer stores, in memory or storage, many explanation profiles, many log entries, and definitions of many features that log entries contain. some features may contain a logic statement such as a database query, and these are specially aggregated based on similarity. based on the entity specified by an explanation profile, statistics are materialized for some or all features. statistics calculation may be based on scheduled batches of log entries or a stream of live log entries. at runtime, an inference that is based on a new log entry is received. based on an entity specified in the new log entry, a particular explanation profile is dynamically selected. based on the new log entry and statistics of features for the selected explanation profile, a local explanation of the inference is generated. in an embodiment, an explanation text template is used to generate the local explanation.