Data mining for business analytics : concepts, techniques, and applications with XL miner

By:

Shmueli, Galit, ; Bruce, Peter C.; Patel, Nitin R

Material type: Text

TextPublication details: USA Wiley 2016Edition: 3rd EdDescription: xxxi, 514 p. 26 cm; HardISBN:

978-1118729274

Subject(s):

Business--Data processing Data mining XL Miner (Computer file) Business mathematics--Computer programs Microsoft Excel (Computer file)

DDC classification:

658.4038 SHM

Online resources:

Click here to access online

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.

Summary: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	658.4038 SHM (Browse shelf(Opens below))	Available		B2404

Alpha /2440/ Rs.8987/-

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.

Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

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