Core Concepts in Data Analysis

Author: Boris Mirkin
Edition: 2011
Binding: Kindle Edition
ISBN: B008BAOPM0

Core Concepts in Data Analysis: Summarization, Correlation and Visualization (Undergraduate Topics in Computer Science)

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). Download Core Concepts in Data Analysis: Summarization, Correlation and Visualization (Undergraduate Topics in Computer Science) from rapidshare, mediafire, 4shared. br />
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.

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