Data mining for business analytics concepts, techniques, and applications with XLMiner / Galit Shmueli, Peter C. Bruce, Nitin R. Patel.

Author/creator Shmueli, Galit, 1971-
Other author Bruce, Peter C., 1953-
Other author Patel, Nitin R. (Nitin Ratilal)
Format Electronic
EditionThird edition.
Publication InfoHoboken, New Jersey : John Wiley & Sons, 2016.
Description1 online resource.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Uniform titleData mining for business intelligence
Contents 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.
General noteIncludes index.
General noteOriginally published as: Data mining for business intelligence, 2007.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Shmueli, Galit, 1971- author. Data mining for business analytics Third edition. Hoboken, New Jersey : John Wiley & Sons, 2016 9781118729274
Genre/formElectronic books.
LCCN 2015047680
ISBN9781118729137 (Adobe PDF)
ISBN9781118729243 (ePub)

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Electronic Resources Access Content Online ✔ Available