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Core Concepts In Data Analysis
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Core Concepts In Data Analysis - nuovo libro

ISBN: 9780857292865

ID: 10906028

Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an. Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an unconventional approach and introduces the concept of multivariate data summarization as a counterpart to conventional machine learning prediction schemes, utilizing techniques from statistics, data analysis, data mining, machine learning, computational intelligence, and information retrieval. Innovations following from his in-depth analysis of the models underlying summarization techniques are introduced, and applied to challenging issues such as the number of clusters, mixed scale data standardization, interpretation of the solutions, as well as relations between seemingly unrelated concepts: goodness-of-fit functions for classification trees and data standardization, spectral clustering and additive clustering, correlation and visualization of contingency data. The mathematical detail is encapsulated in the so-called "formulation" parts, whereas most material is delivered through "presentation" parts that explain the methods by applying them to small real-world data sets; concise "computation" parts inform of the algorithmic and coding issues. Four layers of active learning and self-study exercises are provided: worked examples, case studies, projects and questions. Books, Computing~~Computer Science~~Mathematical Theory of Computation, Core Concepts In Data Analysis~~Book~~9780857292865~~Boris Mirkin, , , , , , , , , ,

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MPN: , SKU 10906028 Costi di spedizione:zzgl. Versandkosten, Costi di spedizione aggiuntivi
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(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.
Core Concepts in Data Analysis: Summarization, Correlation and Visualization - Boris Mirkin
libro esaurito
(*)
Boris Mirkin:
Core Concepts in Data Analysis: Summarization, Correlation and Visualization - edizione con copertina flessibile

2011, ISBN: 0857292862

ID: 12677298855

[EAN: 9780857292865], Neubuch, [PU: Springer-Verlag Gmbh Apr 2011], DATENVERARBEITUNG / ANWENDUNGEN MATHEMATIK, STATISTIK; EDV THEORIE INFORMATIK MATHEMATIK; INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; - AI; AI ( ); MATHEMATIK INFORMATIK, COMPUTER; MUSTERERKENNUNG, Neuware - Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an unconventional approach and introduces the concept of multivariate data summarization as a counterpart to conventional machine learning prediction schemes, utilizing techniques from statistics, data analysis, data mining, machine learning, computational intelligence, and information retrieval. Innovations following from his in-depth analysis of the models underlying summarization techniques are introduced, and applied to challenging issues such as the number of clusters, mixed scale data standardization, interpretation of the solutions, as well as relations between seemingly unrelated concepts: goodness-of-fit functions for classification trees and data standardization, spectral clustering and additive clustering, correlation and visualization of contingency data. The mathematical detail is encapsulated in the so-called 'formulation' parts, whereas most material is delivered through 'presentation' parts that explain the methods by applying them to small real-world data sets; concise 'computation' parts inform of the algorithmic and coding issues. Four layers of active learning and self-study exercises are provided: worked examples, case studies, projects and questions. 390 pp. Englisch

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Rheinberg-Buch, Bergisch Gladbach, Germany [53870650] [Rating: 5 (von 5)]
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(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.
Core Concepts in Data Analysis: Summarization, Correlation and Visualization - Boris Mirkin
libro esaurito
(*)
Boris Mirkin:
Core Concepts in Data Analysis: Summarization, Correlation and Visualization - edizione con copertina flessibile

2011, ISBN: 0857292862

ID: 12956987307

[EAN: 9780857292865], Neubuch, [PU: Springer-Verlag Gmbh Apr 2011], DATENVERARBEITUNG / ANWENDUNGEN MATHEMATIK, STATISTIK; EDV THEORIE INFORMATIK MATHEMATIK; INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; - AI; AI ( ); MATHEMATIK INFORMATIK, COMPUTER; MUSTERERKENNUNG, Neuware - Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an unconventional approach and introduces the concept of multivariate data summarization as a counterpart to conventional machine learning prediction schemes, utilizing techniques from statistics, data analysis, data mining, machine learning, computational intelligence, and information retrieval. Innovations following from his in-depth analysis of the models underlying summarization techniques are introduced, and applied to challenging issues such as the number of clusters, mixed scale data standardization, interpretation of the solutions, as well as relations between seemingly unrelated concepts: goodness-of-fit functions for classification trees and data standardization, spectral clustering and additive clustering, correlation and visualization of contingency data. The mathematical detail is encapsulated in the so-called 'formulation' parts, whereas most material is delivered through 'presentation' parts that explain the methods by applying them to small real-world data sets; concise 'computation' parts inform of the algorithmic and coding issues. Four layers of active learning and self-study exercises are provided: worked examples, case studies, projects and questions. 390 pp. Englisch

Libro nuovo Abebooks.de
AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
NEW BOOK Costi di spedizione:Versandkostenfrei (EUR 0.00)
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(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.
Core Concepts in Data Analysis: Summarization, Correlation and Visualization - Boris Mirkin
libro esaurito
(*)
Boris Mirkin:
Core Concepts in Data Analysis: Summarization, Correlation and Visualization - edizione con copertina flessibile

2011, ISBN: 0857292862

ID: 12677300099

[EAN: 9780857292865], Neubuch, [PU: Springer-Verlag Gmbh Apr 2011], DATENVERARBEITUNG / ANWENDUNGEN MATHEMATIK, STATISTIK; EDV THEORIE INFORMATIK MATHEMATIK; INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; - AI; AI ( ); MATHEMATIK INFORMATIK, COMPUTER; MUSTERERKENNUNG, Neuware - Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an unconventional approach and introduces the concept of multivariate data summarization as a counterpart to conventional machine learning prediction schemes, utilizing techniques from statistics, data analysis, data mining, machine learning, computational intelligence, and information retrieval. Innovations following from his in-depth analysis of the models underlying summarization techniques are introduced, and applied to challenging issues such as the number of clusters, mixed scale data standardization, interpretation of the solutions, as well as relations between seemingly unrelated concepts: goodness-of-fit functions for classification trees and data standardization, spectral clustering and additive clustering, correlation and visualization of contingency data. The mathematical detail is encapsulated in the so-called 'formulation' parts, whereas most material is delivered through 'presentation' parts that explain the methods by applying them to small real-world data sets; concise 'computation' parts inform of the algorithmic and coding issues. Four layers of active learning and self-study exercises are provided: worked examples, case studies, projects and questions. 390 pp. Englisch

Libro nuovo Abebooks.de
Agrios-Buch, Bergisch Gladbach, Germany [57449362] [Rating: 5 (von 5)]
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(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.
Core Concepts in Data Analysis: Summarization, Correlation and Visualization - Boris Mirkin
libro esaurito
(*)
Boris Mirkin:
Core Concepts in Data Analysis: Summarization, Correlation and Visualization - edizione con copertina flessibile

2011, ISBN: 9780857292865

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an unconventional approach and introduces the concept of multivariate data summarization as a counterpart to conventional machine learning prediction schemes, utilizing techniques from statistics, data analysis, data mining, machine learning, computational intelligence, and information retrieval. Innovations following from his in-depth analysis of the models underlying summarization techniques are introduced, and applied to challenging issues such as the number of clusters, mixed scale data standardization, interpretation of the solutions, as well as relations between seemingly unrelated concepts: goodness-of-fit functions for classification trees and data standardization, spectral clustering and additive clustering, correlation and visualization of contingency data. The mathematical detail is encapsulated in the so-called 'formulation' parts, whereas most material is delivered through 'presentation' parts that explain the methods by applying them to small real-world data sets concise 'computation' parts inform of the algorithmic and coding issues. Four layers of active learning and self-study exercises are provided: worked examples, case studies, projects and questions., [SC: 0.00]

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(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.

Dettagli del libro

Informazioni dettagliate del libro - Core Concepts in Data Analysis: Summarization, Correlation and Visualization


EAN (ISBN-13): 9780857292865
ISBN (ISBN-10): 0857292862
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2011
Editore: Springer-Verlag GmbH
390 Pagine
Peso: 0,613 kg
Lingua: eng/Englisch

Libro nella banca dati dal 20.07.2009 06:46:52
libro trovato per l'ultima volta il22.05.2017 15:43:36
ISBN/EAN: 9780857292865

ISBN - Stili di scrittura alternativi:
0-85729-286-2, 978-0-85729-286-5


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