View source for 18137965. SYSTEM AND METHOD FOR FINDING SEGMENTS IN A DATASET WITHIN A DATA ANALYTICS ENVIRONMENT simplified abstract (Oracle International Corporation)

=SYSTEM AND METHOD FOR FINDING SEGMENTS IN A DATASET WITHIN A DATA ANALYTICS ENVIRONMENT=


==Organization Name==

[[:Category:Oracle International Corporation|Oracle International Corporation]]


[[Category:Oracle International Corporation]]

==Inventor(s)==

[[:Category:MIKHAIL Shmulyan of Seattle WA (US)|MIKHAIL Shmulyan of Seattle WA (US)]][[Category: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 18137965 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 allow for the determination and finding of 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.

* The system utilizes brute force, smart sampling, and optimization techniques to determine segments in the dataset.
* Users can explore dataset filters to maximize or minimize numeric column averages or the frequency of attributes in ordinal columns.

== Potential Applications ==
This technology can be applied in various industries such as marketing, finance, healthcare, and e-commerce for data analysis and segmentation purposes.

== Problems Solved ==
1. Efficiently identifying and exploring segments within a dataset.
2. Maximizing the use of dataset filters to extract valuable insights.

== Benefits ==
1. Improved data analysis capabilities.
2. Enhanced decision-making based on segmented data.
3. Increased efficiency in exploring and understanding datasets.

== Potential Commercial Applications ==
Optimizing marketing strategies, improving customer segmentation, enhancing financial analysis, and streamlining healthcare data processing.

== Possible Prior Art ==
Prior art in this field may include existing data analytics tools and methods for segmenting datasets, such as clustering algorithms and data visualization techniques.

=== Unanswered Questions ===

== How does the system handle large datasets with millions of records efficiently?
The system utilizes optimization techniques such as smart sampling to handle large datasets efficiently.

== Can the system automatically update segment recommendations based on real-time data changes?
The system can be designed to incorporate real-time data updates and adjust segment recommendations accordingly.


==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.



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