Core Data Analysis Summarization by Mirkin Boris (18 results)
Language: English
Published by Springer, 2011
Series: Undergraduate Topics in Computer Science, Book 23 of 99. Book 23 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: HPB-Red, Dallas, TX, U.S.A.HPB-Red
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Language: English
Published by Springer, 2011
Series: Undergraduate Topics in Computer Science, Book 23 of 99. Book 23 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: Anybook.com, Lincoln, United KingdomAnybook.com
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780857292865.
Language: English
Published by Springer, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by Springer, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by Springer, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Language: English
Published by Springer 2019-04, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Language: English
Published by Springer, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Springer, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Springer, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. pp. 545.
Language: English
Published by Springer-Verlag New York Inc, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 2nd edition. 524 pages. 9.25x6.25x1.25 inches. In Stock.
More imagesLanguage: English
Published by Springer, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Core Data Analysis: Summarization, Correlation, and Visualization | Boris Mirkin | Taschenbuch | Undergraduate Topics in Computer Science | xv | Englisch | 2019 | Springer | EAN 9783030002701 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]h…artmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within the encoder-d…ecoder paradigm bringing forward a number of mathematically supported insights into the methods and relations between them. Two Chapters describe methods for categorical summarization: partitioning, divisive clustering and separate cluster finding and another explain the methods for quantitative summarization, Principal Component Analysis and PageRank. Features: An in-depth presentation of K-means partitioning including a corresponding Pythagorean decomposition of the data scatter. Advice regarding such issues as clustering of categorical and mixed scale data, similarity and network data, interpretation aids, anomalous clusters, the number of clusters, etc. Thorough attention to data-driven modelling including a number of mathematically stated relations between statistical and geometrical concepts including those between goodness-of-fit criteria for decision trees and data standardization, similarity and consensus clustering, modularity clustering and uniform partitioning.New edition highlights: Inclusion of ranking issues such as Google PageRank, linear stratification and tied rankings median, consensus clustering, semi-average clustering, one-cluster clustering Restructured to make the logics more straightforward and sections self-containedCore Data Analysis: Summarization, Correlation and Visualization is aimed at those who are eager to participate in developing the field as well as appealing to novices and practitioners.
Language: English
Published by Springer, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer International Publishing Apr 2019, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated with…in the encoder-decoder paradigm bringing forward a number of mathematically supported insights into the methods and relations between them. Two Chapters describe methods for categorical summarization: partitioning, divisive clustering and separate cluster finding and another explain the methods for quantitative summarization, Principal Component Analysis and PageRank. Features: An in-depth presentation of K-means partitioning including a corresponding Pythagorean decomposition of the data scatter. Advice regarding such issues as clustering of categorical and mixed scale data, similarity and network data, interpretation aids, anomalous clusters, the number of clusters, etc. Thorough attention to data-driven modelling including a number of mathematically stated relations between statistical and geometrical concepts including those between goodness-of-fit criteria for decision trees and data standardization, similarity and consensus clustering, modularity clustering and uniform partitioning.New edition highlights: Inclusion of ranking issues such as Google PageRank, linear stratification and tied rankings median, consensus clustering, semi-average clustering, one-cluster clustering Restructured to make the logics more straightforward and sections self-containedCore Data Analysis: Summarization, Correlation and Visualization is aimed at those who are eager to participate in developing the field as well as appealing to novices and practitioners. 540 pp. Englisch.
Language: English
Published by Springer, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 545.
Language: English
Published by Springer International Publishing, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on the encoder-decoder interpretation of summarization methods, such as Principal Component Analysis and K-means clusteringSupplies an in-depth description of K-means partitioning including a data-driven mathe…matical theory Covers n.
Language: English
Published by Springer, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 545.
Language: English
Published by Springer, Springer Apr 2019, 2019
Series: Undergraduate Topics in Computer Science, Book 70 of 99. Book 70 of 99 - Undergraduate Topics in Computer Science
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within t…he encoder-decoder paradigm bringing forward a number of mathematically supported insights into the methods and relations between them. Two Chapters describe methods for categorical summarization: partitioning, divisive clustering and separate cluster finding and another explain the methods for quantitative summarization, Principal Component Analysis and PageRank.Features: An in-depth presentation of K-means partitioning including a corresponding Pythagorean decomposition of the data scatter. Advice regarding such issues as clustering of categorical and mixed scale data, similarity and network data, interpretation aids, anomalous clusters, the number of clusters, etc. Thorough attention to data-driven modelling including a number of mathematically stated relations between statistical and geometrical concepts including those between goodness-of-fit criteria for decision trees and data standardization, similarity and consensus clustering, modularity clustering and uniform partitioning.New edition highlights: Inclusion of ranking issues such as Google PageRank, linear stratification and tied rankings median, consensus clustering, semi-average clustering, one-cluster clustering Restructured to make the logics more straightforward and sections self-containedCore Data Analysis: Summarization, Correlation and Visualization is aimed at those who are eager to participate in developing the field as well as appealing to novices and practitioners.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 540 pp. Englisch.
