Data mining for business intelligence: concepts, techniques, and applications in Microsoft Office Excel with XLMiner / Galit Shmueli, Nitin R. Data Mining for Business Intelligence has 91 ratings and 4 reviews. Mike said: and Applications in Microsoft Office Excel with XLMiner by Galit Shmueli (). Data Mining for Business Intelligence, Second Edition uses real data and actual cases to illustrate the 1 review. by Peter C. Bruce, Nitin R. Patel, Galit Shmueli.
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Prediction Accuracy Measures 5. Data Mining for Business Intelligence, Second Edition uses real data and actual cases to illustrate the applicability of data mining DM intelligence in the development of successful business models.
Evaluating Classification Performance Trend Lines and Labels 3. Rodrigo Sosa rated it really liked it Nov 22, Maximum Distance Complete Linkage Improving Forecasts by Miinng Autocorrelation Information Amazon Second Chance Pass it on, trade it in, give it a second life.
This book helps readers understand the beneficial relationship that can be established between DM and smart business practices, and is an excellent learning tool for creating valuable strategies and making wiser business decisions. Classification Performance of Discriminant Analysis Ensembles and Uplift Modeling Cutoff for Classification 5.
Elyse Goldberg rated it liked it Mar 09, Distance Measures for Categorical Data This new edition guides readers through the use of the Microsoft Office Excel add-in XLMiner for developing predictive models and techniques for describing and dats patterns in data. Kenneth Howrey rated it liked it Jun 07, Normalizing Numerical Measurements Logistic Regression for Profiling Appendix A: Added to Your Shopping Cart.
Want to Read Currently Reading Read. It is also a one-of-a-kind resource for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information intelligece.
Galit Shmueli | Data Mining for Business Analytics
Be the first to review this item Amazon Best Sellers Rank: Amazon Music Stream millions of songs. Visualizing Correlations and Missing Values 57 3. Tips and Suggested Steps References.
Intelllgence Data Mining for Business Analytics: Support and Confidence Limitations of Hierarchical Clustering Centered Moving Average for Visualization Evaluating Explanatory Power Appendix C: Other Distance Measures for Numerical Data Computing Parameter Estimates Explanatory versus Predictive Modeling 6. Boxplots and Histograms 3.
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