Data mining for business analytics concepts, techniques, and applications in R (Book, 2018) [WorldCat.org]
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Data mining for business analytics concepts, techniques, and applications in R

Author: Galit Shmueli; Peter C Bruce; Inbal Yahav; Nitin R Patel; Kenneth C Lichtendahl
Publisher: Hoboken, NJ, USA Wiley 2018
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Overview of the data mining process -- Data visualization -- Dimension reduction -- Evaluating predictive performance -- Multiple linear regression -- k-Nearest Neighbors (kNN) -- The Naive Bayes classifier -- Classification and regression trees -- Logistic regression -- Neural nets -- Discriminant analysis -- Combining methods : ensembles and uplift modeling -- Association rules and collaborative filtering --  Read more...
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Details

Document Type: Book
All Authors / Contributors: Galit Shmueli; Peter C Bruce; Inbal Yahav; Nitin R Patel; Kenneth C Lichtendahl
ISBN: 9781118879368 1118879368 9781118956632 111895663X
OCLC Number: 1001432994
Notes: Literaturverzeichnis: Seite 531-532
This edition originally published 2018
Description: XXIX, 544 Seiten Illustrationen, Diagramme
Contents:
Responsibility: Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl, Jr.

Abstract:

Overview of the data mining process -- Data visualization -- Dimension reduction -- Evaluating predictive performance -- Multiple linear regression -- k-Nearest Neighbors (kNN) -- The Naive Bayes classifier -- Classification and regression trees -- Logistic regression -- Neural nets -- Discriminant analysis -- Combining methods : ensembles and uplift modeling -- Association rules and collaborative filtering -- Cluster analysis -- Handling time series -- Regression-based forecasting -- Smoothing methods -- Social network analytics -- Text mining -- Cases

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