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Data mining for business analytics : concepts, techniques, and applications in Microsoft Office Excel with XLMiner / 3rd ed

Shmueli, Galit

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자료유형단행본
서명/저자사항Data mining for business analytics : concepts, techniques, and applications in Microsoft Office Excel with XLMiner / Galit Shmueli, Nitin R. Patel, Peter C. Bruce.
개인저자Shmueli, Galit,1971-.
Patel, Nitin R.(Nitin Ratilal).
Bruce, Peter C.,1953-.
판사항3rd ed.
발행사항Hoboken, New Jersey : John Wiley & Sons, 2016.
형태사항xxxi, 514 p. : ill., charts ; 27 cm.
ISBN9781118729274 (cloth)
일반주기 Originally published as: Data mining for business intelligence, 2007.
서지주기Includes bibliographical references(p. 504-505) and index.
내용주기Overview 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.
주제명
(통일서명)
Microsoft Excel (Computer file).
일반주제명Business --Data processing.
Data mining.
분류기호006.312
언어영어
  

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