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Computer Science - Theoretical Computer Science | Core Concepts in Data Analysis: Summarization, Correlation and Visualization (Reviews)

Core Concepts in Data Analysis: Summarization, Correlation and Visualization

Mirkin, Boris

2011, XX, 390p. 129 illus..

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From the reviews:

“Oriented toward undergraduate students in the computer science field, this work offers a unique approach to data analysis by focusing primarily on summarization, correlation, and visualization techniques instead of more broad-based approaches. Summarization is the more prevalent topic in this book, with detailed coverage of clustering and principal component analysis--two important areas of summarization often treated as heuristics. … Summing Up: Highly recommended. Upper-division undergraduates and faculty.” (D. J. Gougeon, Choice, Vol. 49 (2), October, 2011)

“This textbook follows an unconventional way to present the main aspects regarding data analysis. … the reader is led in a friendly way through different data analysis areas … . this book represents an exciting text, covering the main topics of the data analysis area. It can be successfully used as a textbook for BS and MS students in computer science, on the one hand, and for researchers in data mining and related fields, on the other hand.” (Florin Gorunescu, Zentralblatt MATH, Vol. 1219, 2011)

“Core concepts in data analysis is clean and devoid of any fuzziness. The author presents his theses with a refreshing clarity seldom seen in a text of this sophistication. The entire text is rich in solved examples, case studies, projects, and introspective questions. … To single out just one of the text’s many successes: I doubt readers will ever encounter again such a detailed and excellent treatment of correlation concepts. … statisticians will also find it refreshing and engaging.” (James Van Speybroeck, ACM Computing Reviews, June, 2011)



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