Oracle international corporation (20240126776). SYSTEM AND METHOD FOR FINDING SEGMENTS IN A DATASET WITHIN A DATA ANALYTICS ENVIRONMENT simplified abstract
Contents
- 1 SYSTEM AND METHOD FOR FINDING SEGMENTS IN A DATASET WITHIN A DATA ANALYTICS ENVIRONMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR FINDING SEGMENTS IN A DATASET WITHIN A DATA ANALYTICS ENVIRONMENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEM AND METHOD FOR FINDING SEGMENTS IN A DATASET WITHIN A DATA ANALYTICS ENVIRONMENT
Organization Name
oracle international corporation
Inventor(s)
MIKHAIL Shmulyan of Seattle WA (US)
SYSTEM AND METHOD FOR FINDING SEGMENTS IN A DATASET WITHIN A DATA ANALYTICS ENVIRONMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240126776 titled 'SYSTEM AND METHOD FOR FINDING SEGMENTS IN A DATASET WITHIN A DATA ANALYTICS ENVIRONMENT
Simplified Explanation
The system and method described in the patent application focus on determining segments in a dataset within a data analytics environment. By selecting a segment of interest, the system can identify other segments likely to be of interest based on scoring. This allows users to explore dataset filters to maximize or minimize numeric columns or the frequency of certain attributes in ordinal columns.
- Utilizes brute force, smart sampling, or other optimization techniques for segment determination
- Enables users to explore dataset filters to analyze and manipulate data effectively
Potential Applications
The technology can be applied in various industries such as finance, marketing, healthcare, and more for data analysis, pattern recognition, and decision-making processes.
Problems Solved
1. Efficiently identifying and analyzing segments in large datasets 2. Streamlining the data exploration process for users
Benefits
1. Improved data analysis accuracy and efficiency 2. Enhanced decision-making based on segmented data insights
Potential Commercial Applications
"Segment Determination System for Data Analytics" can be utilized in industries such as e-commerce, market research, and business intelligence for targeted marketing, customer segmentation, and trend analysis.
Possible Prior Art
One possible prior art could be a similar system or method used in data analytics software that focuses on segment determination and exploration in datasets.
Unanswered Questions
How does the system handle large datasets efficiently?
The system utilizes optimization techniques such as smart sampling to handle large datasets effectively, but the specific mechanisms for this efficiency are not detailed in the abstract.
What types of scoring methods are used to determine the likelihood of interest in other segments?
The abstract mentions scoring as a basis for determining other segments of interest, but it does not specify the scoring methods or algorithms employed in the system.
Original Abstract Submitted
in accordance with an embodiment, described herein is a system and method for determining or finding segments in a dataset within a data analytics environment. upon selection of a segment of interest from a dataset, the systems and methods can determine, based on scoring, one or more other segments of data that are determined to be likely of interest. the determination and finding of segments of a dataset can allow a user to explore dataset filters, which can maximize or minimize an average of a numeric column, or the frequency of certain attribute of an ordinal column. the systems and methods can utilize, for example, a combination of brute force, smart sampling, or other optimization techniques for the determination of segments.
