Data Mining for Business Analytics

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  • Author : Galit Shmueli
  • Publisher : John Wiley & Sons
  • Pages : 560 pages
  • ISBN : 1118729277
  • Rating : /5 from reviews
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Download or Read online Data Mining for Business Analytics full in PDF, ePub and kindle. this book written by Galit Shmueli and published by John Wiley & Sons which was released on 18 April 2016 with total page 560 pages. We cannot guarantee that Data Mining for Business Analytics book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, 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® Office Excel® add-in XLMiner® 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® slides https://www.dataminingbook.com Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, 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. 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 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 2004 at University of Maryland, Statistics.com, The 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 systems and healthcare. She has authored over 70 journal articles, books, textbooks and book chapters. Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.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, also published by Wiley. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad for 15 years.

Data Mining for Business Analytics

Data Mining for Business Analytics
  • Author : Galit Shmueli,Peter C. Bruce,Nitin R. Patel
  • Publisher : John Wiley & Sons
  • Release : 18 April 2016
GET THIS BOOK Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, 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® Office Excel® add-in XLMiner® 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

RapidMiner Second Edition

RapidMiner  Second Edition
  • Author : Markus Hofmann,Ralf Klinkenberg
  • Publisher : CRC Press
  • Release : 30 December 2016
GET THIS BOOK RapidMiner Second Edition

Written by leaders in the data mining community, including the developers of the RapidMiner software, this book provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors. It presents the most powerful and flexible open source software solutions: RapidMiner and RapidAnalytics. The new edition will update all chapters to RapidMiner 7, and will add at least six new chapters, including new chapters on text mining,

Data Mining and Business Analytics with R

Data Mining and Business Analytics with R
  • Author : Johannes Ledolter
  • Publisher : John Wiley & Sons
  • Release : 28 May 2013
GET THIS BOOK Data Mining and Business Analytics with R

Collecting, analyzing, and extracting valuable information froma large amount of data requires easily accessible, robust,computational and analytical tools. Data Mining and BusinessAnalytics with R utilizes the open source software R for theanalysis, exploration, and simplification of large high-dimensionaldata sets. As a result, readers are provided with the neededguidance to model and interpret complicated data and become adeptat building powerful models for prediction and classification. Highlighting both underlying concepts and practicalcomputational skills, Data Mining and Business Analytics withR begins with

Guide to Data Mining for Business Analytics

Guide to Data Mining for Business Analytics
  • Author : Vincent Bronson
  • Publisher : Unknown
  • Release : 04 December 2020
GET THIS BOOK Guide to Data Mining for Business Analytics

A business is an entity that is formed in order to carry out activities for the purpose of generating revenue. It involves managing people to organize and maintain a collective effort toward accomplishing a particular creative or productive goal. The term may refer to general commercial, professional, or industrial activity. The singular usage of the term refers to a particular company or corporation, wherein individuals organize based on expertise and skills to bring about social or technological advancement. The generalized

Real World Data Mining

Real World Data Mining
  • Author : Dursun Delen
  • Publisher : FT Press
  • Release : 16 December 2014
GET THIS BOOK Real World Data Mining

Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, he provides enough technical depth to

Business Intelligence in Plain Language

Business Intelligence in Plain Language
  • Author : Jeremy M. Kolb
  • Publisher : CreateSpace
  • Release : 21 May 2013
GET THIS BOOK Business Intelligence in Plain Language

One day a man walked into Asgard Inc. and changed the company forever. Unlike anyone who came before, he remembered and understood data as naturally as a fish swims in water. The CEO was shocked at how well the man knew the company. He started posing questions to this man. Who are my best customers? Why is this product struggling? Where is my greatest growth happening? The man answered these and more. Using his understanding of data, he identified key

Integration Challenges for Analytics Business Intelligence and Data Mining

Integration Challenges for Analytics  Business Intelligence  and Data Mining
  • Author : Azevedo, Ana,Santos, Manuel Filipe
  • Publisher : IGI Global
  • Release : 11 December 2020
GET THIS BOOK Integration Challenges for Analytics Business Intelligence and Data Mining

As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a

Applied Data Mining for Business Analytics

Applied Data Mining for Business Analytics
  • Author : Dursun Delen
  • Publisher : Unknown
  • Release : 18 May 2021
GET THIS BOOK Applied Data Mining for Business Analytics

"This easy video tutorial is the fastest way to master modern data science best practices and use them to promote timely, evidence-based decision-making! Applied Data Mining LiveLessons demystifies current best practices, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen shows you exactly how analytics and data mining work, why they've become so important, and how to apply them to

RapidMiner

RapidMiner
  • Author : Markus Hofmann,Ralf Klinkenberg
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOK RapidMiner

Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of incre

Integration of Data Mining in Business Intelligence Systems

Integration of Data Mining in Business Intelligence Systems
  • Author : Azevedo, Ana
  • Publisher : IGI Global
  • Release : 30 September 2014
GET THIS BOOK Integration of Data Mining in Business Intelligence Systems

Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers,

Data Mining to Business Analytics Finance Budgeting and Investments

Data Mining to Business Analytics  Finance  Budgeting and Investments
  • Author : Jagdish Chandra Patni,Hitesh Kumar Sharma,Ravi Tomar
  • Publisher : Unknown
  • Release : 12 September 2017
GET THIS BOOK Data Mining to Business Analytics Finance Budgeting and Investments

Academic Paper from the year 2017 in the subject Computer Science - General, grade: 5, University of Petroleum and Energy Studies, language: English, abstract: This paper utilizes the distinctive mining techniques as an answer for business needs. It presents Finance, Budgeting and Investments as the principle working ground for the data mining algorithms actualized. With the increment of monetary globalization and development of information technology, financial data are being produced and gathered at an extraordinary pace. Thus, there has been a basic

Business Intelligence and Data Mining

Business Intelligence and Data Mining
  • Author : Anil Maheshwari
  • Publisher : Business Expert Press
  • Release : 31 December 2014
GET THIS BOOK Business Intelligence and Data Mining

“This book is a splendid and valuable addition to this subject. The whole book is well written and I have no hesitation to recommend that this can be adapted as a textbook for graduate courses in Business Intelligence and Data Mining.” Dr. Edi Shivaji, Des Moines, Iowa “As a complete novice to this area just starting out on a MBA course I found the book incredibly useful and very easy to follow and understand. The concepts are clearly explained and

Predictive Analytics for Marketers

Predictive Analytics for Marketers
  • Author : Barry Leventhal
  • Publisher : Kogan Page Publishers
  • Release : 03 February 2018
GET THIS BOOK Predictive Analytics for Marketers

Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current data and make predictions about unknown future events. In business terms, this enables companies to forecast consumer behaviour and much more. Predictive Analytics for Marketers will guide marketing professionals on how to apply predictive analytical tools to streamline business practices. Including comprehensive coverage of an array of predictive analytic tools and techniques, this book enables readers

Business Analytics

Business Analytics
  • Author : Jeffrey D. Camm,James J. Cochran,Michael J. Fry,Jeffrey W. Ohlmann
  • Publisher : Cengage Learning
  • Release : 25 February 2020
GET THIS BOOK Business Analytics

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 4E. You master the full range of analytics as you strengthen your descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals illustrate data and results for each topic. Step-by-step instructions guide you through using Microsoft Excel, Tableau, R and JMP Pro software to perform more advanced analytics concepts. Practical, relevant problems at all levels of difficulty help you

Data Mining for Business Applications

Data Mining for Business Applications
  • Author : Carlos A. Mota Soares,Rayid Ghani
  • Publisher : IOS Press
  • Release : 01 January 2010
GET THIS BOOK Data Mining for Business Applications

Data mining is already incorporated into the business processes in sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This book contains extended versions of a selection of papers presented at a series of workshops held between 2005 and 2008 on the subject of data mining for business applications.