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US-2015347441-A1 · Dec 3, 2015 · US
Systems and methods for providing a unified variable selection approach based on variance preservation
US9501522B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9501522-B2 |
| Application number | US-201313970459-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 19, 2013 |
| Priority date | Aug 17, 2012 |
| Publication date | Nov 22, 2016 |
| Grant date | Nov 22, 2016 |
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Abstract
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This disclosure describes a method, system and computer-program product for parallelized feature selection. The method, system and computer-program product may be used to access a first set of features, wherein the first set of features includes multiple features, wherein the features are characterized by a variance measure, and wherein accessing the first set of features includes using a computing system to access the features, determine components of a covariance matrix, the components of the covariance matrix indicating a covariance with respect to pairs of features in the first set, and select multiple features from the first set, wherein selecting is based on the determined components of the covariance matrix and an amount of the variance measure attributable to the selected multiple features, and wherein selecting the multiple features includes executing a greedy search performed using parallelized computation.
First claim
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method for relevance detection and dimensionality reduction in a big data parallelized computing environment to effectively minimize selection of redundant features, the method comprising: accessing a first set of features, wherein the first set of features includes multiple features, wherein the features of the first set of features are characterized by a variance measure, and wherein accessing the first set of features includes using…
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Classifications
Physics · mapped topic
Physics · mapped topic
- G06F17/30424Primary
Physics · mapped topic
- G06F16/90335Primary
Physics · mapped topic
- G06F16/245Primary
Physics · mapped topic
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Frequently asked questions
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- What does patent US9501522B2 cover?
- This disclosure describes a method, system and computer-program product for parallelized feature selection. The method, system and computer-program product may be used to access a first set of features, wherein the first set of features includes multiple features, wherein the features are characterized by a variance measure, and wherein accessing the first set of features includes using a compu…
- Who is the assignee on this patent?
- Sas Inst Inc
- What technology area does this patent fall under?
- Primary CPC classification G06F17/30424. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Nov 22 2016 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).