Data Mining For Business Analytics PDF Download

Data Mining for Business Analytics PDF
Author: Galit Shmueli
Publisher: John Wiley & Sons
Size: 18.58 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 560
View: 1256

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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.

Customer And Business Analytics PDF Download

Customer and Business Analytics PDF
Author: Daniel S. Putler
Publisher: CRC Press
Size: 20.37 MB
Format: PDF, ePub, Docs
Category : Business & Economics
Languages : en
Pages : 315
View: 4020

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Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the tex

Guide To Data Mining For Business Analytics PDF Download

Guide to Data Mining for Business Analytics PDF
Author: Vincent Bronson
Publisher:
Size: 25.88 MB
Format: PDF, Mobi
Category :
Languages : en
Pages : 76
View: 5395

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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 usage refers to a particular market sector, "the computer business" or "the business community," and the particular community of suppliers of various goods and services. With some exceptions, such as cooperatives, non-profit organizations, and various government institutions, businesses are formed to earn profit and increase the personal wealth of their owners in exchange for their work and expense of time, energy, and money.In addition to different types of activity, such as manufacturing, service, retail, and so forth, there are also various forms of business organization, with different legal characteristics. As human society has moved toward increasing globalization there have been significant impacts on the world of business. One of the significant impacts is the interface with ethics, as doing business in different parts of the world challenges those involved to respond appropriately to more than one set of cultural and legal expectations.

Applied Data Mining For Business Analytics PDF Download

Applied Data Mining for Business Analytics PDF
Author: Dursun Delen
Publisher:
Size: 32.85 MB
Format: PDF, ePub, Mobi
Category :
Languages : en
Pages :
View: 3329

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"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 your problems. Delen reviews key concepts, applications, and challenges; introduces advanced tools and technologies, including IBM Watson; and discusses privacy concerns associated with modern data mining. Next, he guides you through the entire data mining process, introducing KDD, CRISP-DM, SEMMA, and Six Sigma for data mining. You'll watch him demonstrate prediction, classification, decision trees, and cluster analysis ... key algorithms such as nearest neighbor ... artificial neural networks ... regression and time-series forecasting ... text analytics and sentiment analysis ... big data techniques, technologies, and more. In just hours, you'll be ready to analyze huge volumes of data, discover crucial new insights, and make better, faster decisions!"--Resource description page.

Predictive Analytics For Marketers PDF Download

Predictive Analytics for Marketers PDF
Author: Barry Leventhal
Publisher: Kogan Page Publishers
Size: 51.91 MB
Format: PDF, ePub
Category : Business & Economics
Languages : en
Pages : 272
View: 4779

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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 to harness patterns from past data, to make accurate and useful predictions that can be converted to business success. Truly global in its approach, the insights these techniques offer can be used to manage resources more effectively across all industries and sectors. Written in clear, non-technical language, Predictive Analytics for Marketers contains case studies from the author's more than 25 years of experience and articles from guest contributors, demonstrating how predictive analytics has been used to successfully achieve a range of business purposes.

Integration Challenges For Analytics Business Intelligence And Data Mining PDF Download

Integration Challenges for Analytics  Business Intelligence  and Data Mining PDF
Author: Azevedo, Ana
Publisher: IGI Global
Size: 22.98 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 250
View: 2669

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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 relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.

Real World Data Mining PDF Download

Real World Data Mining PDF
Author: Dursun Delen
Publisher: FT Press
Size: 29.32 MB
Format: PDF
Category : Computers
Languages : en
Pages : 288
View: 5169

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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 help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials. Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based.

Data Mining For Business Applications PDF Download

Data Mining for Business Applications PDF
Author: Carlos A. Mota Soares
Publisher: IOS Press
Size: 24.39 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 181
View: 4771

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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.

Data Mining And Business Analytics With R PDF Download

Data Mining and Business Analytics with R PDF
Author: Johannes Ledolter
Publisher: John Wiley & Sons
Size: 28.55 MB
Format: PDF
Category : Computers
Languages : en
Pages : 368
View: 3709

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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 coverage of standard linear regression and theimportance of parsimony in statistical modeling. The book includesimportant topics such as penalty-based variable selection (LASSO);logistic regression; regression and classification trees;clustering; principal components and partial least squares; and theanalysis of text and network data. In addition, the bookpresents: • A thorough discussion and extensive demonstration of thetheory behind the most useful data mining tools • Illustrations of how to use the outlined concepts inreal-world situations • Readily available additional data sets and related Rcode allowing readers to apply their own analyses to the discussedmaterials • Numerous exercises to help readers with computing skillsand deepen their understanding of the material Data Mining and Business Analytics with R is an excellentgraduate-level textbook for courses on data mining and businessanalytics. The book is also a valuable reference for practitionerswho collect and analyze data in the fields of finance, operationsmanagement, marketing, and the information sciences.

Decision Trees For Business Intelligence And Data Mining PDF Download

Decision Trees for Business Intelligence and Data Mining PDF
Author: Barry De Ville
Publisher: SAS Press
Size: 46.93 MB
Format: PDF, ePub, Docs
Category : Business & Economics
Languages : en
Pages : 224
View: 6467

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This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and how this technique complements and supplements other business intelligence applications.