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Data mining for business analytics : concepts, techniques, and applications in R
서명 / 저자 Data mining for business analytics : concepts, techniques, and applications in R : by Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl.
저자명 Shmueli, Galit, 1971- ; Bruce, Peter C., 1953- ; Yahav, Inbal. ; Patel, Nitin R (Nitin Ratilal) ; Lichtendahl, Kenneth C., 1969-
발행사항 Hoboken, New Jersey : John Wiley ＆ Sons, 2018

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00066712

소장위치 / 청구기호

5층 인문·사회자료실 / HF5548.2 S56 2018

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청구기호 HF5548.2 S56 2018
형태사항 xxix, 544 p. : ill. ; 25 cm.
언어 영어
서지주기 Includes bibliographical references and index.
내용 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.
주제 Business --Data processing.
Data mining.
R (Computer program language)
Business mathematics --Computer programs.
LCCN 2017024503
ISBN 9781118879368 (cloth)
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