Quantile contours and multivariate density estimation for massive datasets via sequential convex hull peeling.(Author abstract): An article from: IIE Transactions
Book Details
Author(s)James P. McDermott, Dennis K.J. Lin
PublisherThomson Gale
ISBN / ASINB000R382FK
ISBN-13978B000R382F3
MarketplaceFrance 🇫🇷
Description
This digital document is an article from IIE Transactions, published by Thomson Gale on June 1, 2007. The length of the article is 7704 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
From the author: Keywords: Data depth, data mining, quantile contours, streaming data
Citation Details
Title: Quantile contours and multivariate density estimation for massive datasets via sequential convex hull peeling.(Author abstract)
Author: James P. McDermott
Publication:IIE Transactions (Magazine/Journal)
Date: June 1, 2007
Publisher: Thomson Gale
Volume: 39 Issue: 6 Page: 581(11)
Article Type: Author abstract
Distributed by Thomson Gale
From the author: Keywords: Data depth, data mining, quantile contours, streaming data
Citation Details
Title: Quantile contours and multivariate density estimation for massive datasets via sequential convex hull peeling.(Author abstract)
Author: James P. McDermott
Publication:IIE Transactions (Magazine/Journal)
Date: June 1, 2007
Publisher: Thomson Gale
Volume: 39 Issue: 6 Page: 581(11)
Article Type: Author abstract
Distributed by Thomson Gale
