9781118447147 - Data Mining and Business Analytics with R von Ledolter, Johannes (9 Ergebnisse)

Zustand: As New. Like New condition. A near perfect copy that may have very minor cosmetic defects.

Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. 368.

Zustand: New. Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. Num Pages: 368 pages, Illustrations (some color). BIC Classification: KJMV3; UFM; UNF. Category: (P) Professional & Vocational. Dimension: 241 x 156 x 22. Weight in Grams: 736. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Gebunden. Zustand: New. I first taught a Ph.D. level course in business applications of data mining 10 years ago. I regularly search the web, looking for business-oriented data mining books, and this is the first one I have found that is suitable for an MS in business analytics. .

Hardcover. Zustand: Brand New. 1st edition. 368 pages. 9.53x6.38x0.79 inches. In Stock.

Buch. Zustand: Neu. Neuware - Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification.Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents:\* A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools\* Illustrations of how to use the outlined concepts in real-world situations\* Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials\* Numerous exercises to help readers with computing skills and deepen their understanding of the materialData Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.