Language : English
Published : 2009
Pages : 272
Manual de Publicaciones de la American Psychological Association
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Praise for the Second Edition ” full of vivid and thought-provoking anecdotes…needs to be read by anyone with a serious interest in research and marketing.” Research Magazine “Shmueli et al. have done a wonderful job in presenting the field of data mining – a welcome addition to the literature.” ComputingReviews.com “Excellent choice for business analysts…The book is a perfect fit for its intended audience.” Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization ” extremely well organized, clearly written and introduces all of the basic ideas quite well.” Robert L. Phillips, Professor of Professional Practice, Columbia Business School 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. Readers will work with all of the standard data mining methods using the Microsoft(R) Office Excel(R) add-in XLMiner(R) to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: * Real-world examples to build a theoretical and practical understanding of key data mining methods * End-of-chapter exercises that help readers better understand the presented material * Data-rich case studies to illustrate various applications of data mining techniques * Completely new chapters on social network analysis and text mining * A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint(R) slides * Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology.
About the Author
Aaron Podolefsky is Provost and Vice President for Academic at the University of Northern Iowa, where he also served eight years as Dean of the College of Social and Behavioral Sciences. He received his Ph.D. in Anthropology from the State University of New York at Stony Brook and also holds degrees in Liberal Studies and Mathematics. He has authored books on law in Papua New Guinea and crime prevention in urban America. Peter J. Brown is a Professor of Anthropology at Emory University, where he also holds a faculty position in the Rollins School of Public Health. He is currently director of Emory’s Center for the Study of Health, Culture and Society. He has served as an officer in the Society for Medical Anthropology and was Editor-in-Chief of the journal Medical Anthropology for nine years. He has done research on a variety of topics, including malaria, tuberculosis, obesity, Alzheimer’s disease, male gender and health, and the history of international health policy. He has been the recipient of three teaching awards. He has co-edited The Anthropology of Infectious Disease (with Marcia Inhorn) as well as the textbooks Applying Anthropology (sixth edition) and Applying Cultural Anthropology (fifth edition) (both with Aaron Podolefsky.
This book is wholly dedicated to the art of exploratory spreadsheet modeling. Real problems that readers encounter on a day-to-day basis are presented, with the aim of helping them derive applicable principles and link principles to practice.
Users of this book will find it a refreshing learning guide and handy reference resource. It offers 101 spreadsheet exercises and tools, including a chapter featuring another 101 business challenges that readers can practice as modeling projects. Introduced for the first time in this third edition is a set of Discovery Points, 46 in total. They are included to enlighten readers and instructors on the underlying exploratory thinking employed in the exercises.
Though the book can be used with different versions of Microsoft Excel, LibreOffice and OpenOffice Calc, and other spreadsheet application software, this edition only presents Excel 2010-13 spreadsheet features and functions, and Visual Basic for Application in its appendices.
The notes for older Excel versions, and OpenOffice Calc and Basic from the earlier editions, and the newly added LibreOffice Calc and Basic are now found in a new Online Learning Center that accompanies this book. Completed spreadsheet workbooks in the different spreadsheet versions are also provided there.
This way, the book should remain helpful for any person, whether a novice, beginner, or expert, to learn business modeling using basic and advanced spreadsheet features, as well as macro programming.
Festival and Special Event Management, 5th edition continues the comprehensive overview of the theory and procedures associated with festivals and special events established in previous editions. The new edition of this market-leading text introduces developments and professional tools, and considers the globalisation and subsequent internationalisation of event management.
The role of marketing and communication, environmental planning, the increasing role of governments through the creation of event strategies, and the different perspectives of event management are all discussed. This edition aims to embrace and extend the growing body of knowledge relating to event management by tracking many of the recent changes and developments in the field. This offers students a current, relevant textbook for their study and professional reference.