Core Concepts in Data Analysis: Summarization, Correlation and Visualization: Undergraduate Topics in Computer Science - Couverture souple

Mirkin, Boris

Couverture souple

ISBN 10 : 0857292862 ISBN 13 : 9780857292865

Editeur : Springer, 2011

Synopsis

With in-depth descriptions of data analysis techniques both for summarizing and correlation, the author’s unconventional approach employs the concept of multivariate data summarization as an alternative to conventional machine-learning prediction methods.

A propos du livre

Présentation de l'éditeur

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.

Présentation de l'éditeur

With in-depth descriptions of data analysis techniques both for summarizing and correlation, the author’s unconventional approach employs the concept of multivariate data summarization as an alternative to conventional machine-learning prediction methods.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2011
• Langue: anglais
• ISBN 10: 0857292862
• ISBN 13: 9780857292865
• Reliure: Broché
• Nombre de pages: 412
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne