Data Mining ⛏️ for Business 👨‍💼 Analytics. Concepts, Techniques, and ➕ Applications in R

Data Mining ⛏️ for Business 👨‍💼 Analytics. Concepts, Techniques, and ➕ Applications in R

👓 Galit Shmueli
Data Mining ⛏️ for Business 👨‍💼 Analytics. Concepts, Techniques, and ➕ Applications in R

Data Mining ⛏️ for Business 👨‍💼 Analytics. Concepts, Techniques, and ➕ Applications in R

✅ Data Mining ⛏️ for Business 👨‍💼 Analytics: Concepts, Techniques, and ➕ Applications in R presents 🎁 an applied approach to data mining ⛏️ concepts and ➕ methods, using R software 👨‍💻️ for illustration Readers will learn how to implement a variety of popular data mining ⛏️ algorithms in R (a free 🆓 and ➕ open 😃-source software 👨‍💻️) to tackle business 👨‍💼 problems and ➕ opportunities. This is the fifth version of this successful text, and ➕ the first 🥇 using R. It covers 📔 both statistical and ➕ machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining ⛏️ and ➕ network analysis. It also includes: • Two 2️⃣ new 🆕 co-authors, Inbal Yahav and ➕ Casey Lichtendahl, who bring both expertise teaching business 👨‍💼 analytics courses using R, and ➕ data mining ⛏️ consulting experience in business 👨‍💼 and ➕ government • Updates and ➕ new 🆕 material based on feedback from instructors 👨‍🏫 teaching MBA, undergraduate, diploma and ➕ executive courses, and ➕ from their students 👨‍🎓️ • More than a dozen case studies demonstrating applications for the data mining ⛏️ techniques described • End 🔚-of-chapter exercises that help readers gauge and ➕ expand their comprehension and ➕ competency of the material presented 🎁 • A companion website with more than two 2️⃣ dozen data sets 📐, and ➕ instructor 👨‍🏫 materials including exercise solutions, PowerPoint slides, and ➕ case solutions Data Mining ⛏️ for Business 👨‍💼 Analytics: Concepts, Techniques, and ➕ Applications in R is an ideal textbook for graduate 👨‍🎓️ and ➕ upper-undergraduate level 🎚️ courses in data mining ⛏️, predictive analytics, and ➕ business 👨‍💼 analytics. This new 🆕 edition is also an excellent reference for analysts, researchers, and ➕ practitioners working ⚙️ with quantitative methods in the fields 🏑 of business 👨‍💼, finance, marketing, computer 💻️ science 🧪, and ➕ information ℹ️ technology. “ This book 📚️ has by far the most comprehensive review of business 👨‍💼 analytics methods that I have ever seen 👀, covering 📔 everything from classical 🏛️ approaches such as linear and ➕ logistic regression, through to modern methods like neural networks, bagging 👜 and ➕ boosting, and ➕ even much more business 👨‍💼 specific procedures such as social network analysis and ➕ text mining ⛏️. If not ❌️ the bible, it is at the least a definitive manual on the subject.” Gareth M. James, University of Southern California and ➕ co-author (with Witten, Hastie and ➕ Tibshirani) of the best-selling book 📚️ An Introduction to Statistical Learning, with Applications in R Galit Shmueli, PhD, is Distinguished Professor 👨‍🏫 at National Tsing Hua University’s Institute of Service Science 🧪. She 👤👩 has designed and ➕ instructed data mining ⛏️ courses since 2️⃣0️⃣0️⃣4️⃣ at University of Maryland, Statistics.com, Indian School 🏫 of Business 👨‍💼, and ➕ National Tsing Hua University, Taiwan ​🇹🇼​. Professor 👨‍🏫 Shmueli is known 💡 for her 👤👩⬅️ research and ➕ teaching in business 👨‍💼 analytics, with a focus on statistical and ➕ data mining ⛏️ methods in information ℹ️ systems and ➕ healthcare 👨‍⚕️. She 👤👩 has authored over 7️⃣0️⃣ publications including books 📚️. Peter C. Bruce is President and ➕ Founder of the Institute for Statistics Education at Statistics.com. He 👤👨 has written 🖋️ multiple journal articles and ➕ is the developer 👨‍💻️ of Resampling Stats software 👨‍💻️. He 👤👨 is the author of Introductory Statistics and ➕ Analytics: A Resampling Perspective (Wiley) and ➕ co-author of Practical Statistics for Data Scientists 👨‍🔬: 5️⃣0️⃣ Essential Concepts (O’Reilly). Inbal Yahav, PhD, is Professor 👨‍🏫 at the Graduate 👨‍🎓️ School 🏫 of Business 👨‍💼 Administration at Bar 🍾-Ilan University, Israel ​🇮🇱​. She 👤👩 teaches courses in social network analysis, advanced research methods, and ➕ software 👨‍💻️ quality assurance. Dr. Yahav received her 👤👩⬅️ PhD in Operations Research and ➕ Data Mining ⛏️ from the University of Maryland, College Park 🏞️. Nitin R. Patel, PhD, is Chairman and ➕ cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American ​🇺🇸​ St



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