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Semi-Supervised and Unsupervised Machine Learning : Novel Strategies, Hardcov...

Description: Semi-Supervised and Unsupervised Machine Learning : Novel Strategies, Hardcover by Albalate, Amparo; Minker, Wolfgang, ISBN 1848212038, ISBN-13 9781848212039, Like New Used, Free shipping in the US "This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention to text mining. Discovering the underlying structure on a data set has been a key research topic associated to unsupervised techniques with multiple applications and challenges, from web-content mining to the inference of cancer subtypes in genomic microarray data. Among those, th focuses on a new application for dialog systems which can be thereby made adaptable and portable to different domains. Clustering evaluation metrics and new approaches, such as the ensembles of clustering algorithms, are also described"--

Price: 173.23 USD

Location: Jessup, Maryland

End Time: 2024-10-31T19:07:36.000Z

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Semi-Supervised and Unsupervised Machine Learning : Novel Strategies, Hardcov...

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

Refund will be given as: Money Back

Book Title: Semi-Supervised and Unsupervised Machine Learning : Novel Strateg

Number of Pages: 320 Pages

Language: English

Publication Name: Semi-Supervised and Unsupervised Machine Learning : Novel Strategies

Publisher: Wiley & Sons, Incorporated, John

Item Height: 0.8 in

Publication Year: 2011

Subject: Databases / Data Mining, Electronics / General

Type: Textbook

Item Weight: 18 Oz

Item Length: 9.5 in

Author: Amparo Albalate, Wolfgang Minker

Subject Area: Computers, Technology & Engineering

Item Width: 6.4 in

Format: Hardcover

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