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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From clustering customers into market segments and finding the characteristics of frequent flyers to learning what items are purchased with other items, the authors use interesting, real-world examples to build a theoretical and practical understanding of key data mining methods, including classification, prediction, and affinity analysis as well as data reduction, exploration, and visualization.
Discovering Association Rules in Transaction Databases Return to Book Page. Classifying More Than Two Classes Training the Model Preprocessing the Data Interpreting Results in Terms of Odds Time Series Forecasting 3. Prediction and Classification Methods 6.
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Summary of major visualizations and operations, according to data mining goal 3. Evaluating Explanatory Power Appendix C: He is the author of Introductory Statistics and Analytics: Oversampling and Asymmetric Costs 5.
Simple Exponential Smoothing Pruning the Tree 9. Hierarchical Agglomerative Clustering 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.
Galit Shmueli | Data Mining for Business Analytics
Maximum Distance Complete Linkage Medical Dispatch to Accident Scenes Terminology and Notation 1. Judging Classification Performance 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.
Popular Forecasting Methods in Business The book is a perfect fit for its intended audience. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.
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Added to Your Shopping Cart. Handling Time Series Amazon Inspire Digital Educational Resources. How to Reduce the Number of Predictors 6.
Uses of Data Visualization 3. Ridership on Amtrak Trains Three new chapters on time series forecasting, introducing popular business forecasting methods including moving average, exponential smoothing methods; regression-based models; and topics such as explanatory vs.
Centroid Distance Average Group Linkage Get fast, free shipping with Amazon Prime. Sampling from a Database 2. Wiley-Interscience; 1 edition March 14, Language: Selecting Strong Rules Ensembles and Uplift Modeling Interpreting the Results She has authored over 70 journal articles, books, textbooks and book chapters. Impact of Single Predictors Amazon Rapids Fun stories for kids on the go.
ComiXology Thousands of Digital Comics. Kanishka Goswami rated it liked it Apr 20, Model Fitting and Estimation Visualizing Correlations and Missing Values 3.
Trailing Moving Average for Forecasting Description Data Mining for Business Analytics: Meaning Extraction at Document Level Road Maps to This Book 1.
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