Perspectives on big data analysis

Québec) International Workshop on Perspectives on High-Dimensional Data Analysis (2nd 2012 Montréal

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3h 11m

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Perspectives on big data analysis

by Québec) International Workshop on Perspectives on High-Dimensional Data Analysis (2nd 2012 Montréal

Published

2014

Publisher

American Mathematical Society

Pages

191

ISBN-13

9781470410421

ISBN-10

1470410427

Subjects

Multivariate analysisCongressesArtificial intelligenceBig dataComputer science -- Artificial intelligence -- None of the above, but in this sectionStatistics -- Multivariate analysis -- Factor analysis and principal components; correspondence analysisStatistics -- Linear inference, regression -- Ridge regression; shrinkage estimatorsStatistics -- Parametric inference -- Asymptotic properties of testsStatistics -- Nonparametric inference -- EstimationStatistics -- Inference from stochastic processes -- Markov processes: estimationStatistics -- Nonparametric inference -- Nonparametric regressionProbability theory and stochastic processesStatistics -- Nonparametric inference -- None of the above, but in this sectionStatistics -- Multivariate analysis -- Hypothesis testingComputer scienceStatistics
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Frequently Asked Questions

How many pages are in Perspectives on big data analysis?

This edition of Perspectives on big data analysis has approximately 191 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Perspectives on big data analysis?

For most readers, Perspectives on big data analysis typically takes between 3h 59m and 2h 39m to complete. This is based on the book's length of approximately 47,750 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 3h 11m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 7 days • Estimated word count: 47,750 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Perspectives on big data analysis?

The estimated word count for Perspectives on big data analysis is approximately 47,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Perspectives on big data analysis?

Perspectives on big data analysis was written by Québec) International Workshop on Perspectives on High-Dimensional Data Analysis (2nd 2012 Montréal.

When was Perspectives on big data analysis published?

The publication date for this specific edition is 2014. The original work may have been published on a different date.