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Interactive visual data mining for increasing classification accuracy
US8996583B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8996583-B2 |
| Application number | US-201213629967-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 28, 2012 |
| Priority date | Sep 28, 2012 |
| Publication date | Mar 31, 2015 |
| Grant date | Mar 31, 2015 |
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Abstract
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Visual data mining techniques for increasing data classification accuracy are disclosed. For example, a method comprises the following steps. At least two decision tree data structures from a high-dimensional data set are generated. A composite data structure comprising the at least two decision tree data structures is generated. The composite data structure is generated based on a correlation computed between the at least two decision tree data structures. The composite data structure is visualized on a display. Modification of the composite data structure is enabled via interaction with the visualization of the composite data structure on the display.
First claim
Opening claim text (preview).
What is claimed is: 1. A method comprising: generating at least two decision tree data structures from a high-dimensional data set; generating a composite data structure comprising the at least two decision tree data structures, the composite data structure being generated based on a correlation computed between the at least two decision tree data structures; visualizing the composite data structure on a display by representing one or more attributes of the composite data stru…
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- G06F16/2465Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
- G06N5/025Primary
Physics · mapped topic
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Frequently asked questions
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- What does patent US8996583B2 cover?
- Visual data mining techniques for increasing data classification accuracy are disclosed. For example, a method comprises the following steps. At least two decision tree data structures from a high-dimensional data set are generated. A composite data structure comprising the at least two decision tree data structures is generated. The composite data structure is generated based on a correlation …
- Who is the assignee on this patent?
- Emc Corp
- What technology area does this patent fall under?
- Primary CPC classification G06F16/2465. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Mar 31 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).