Data Mining for Business Analytics

Concepts, Techniques, and Applications with XLMiner

Author: Galit Shmueli,Peter C. Bruce,Nitin R. Patel

Publisher: John Wiley & Sons

ISBN: 1118729242

Category: Mathematics

Page: 560

View: 9906

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

praktische Werkzeuge und Techniken für das maschinelle Lernen

Author: Ian H. Witten,Eibe Frank

Publisher: N.A

ISBN: 9783446215337

Category:

Page: 386

View: 7242


big data @ work

Chancen erkennen, Risiken verstehen

Author: Thomas H. Davenport

Publisher: Vahlen

ISBN: 3800648156

Category: Fiction

Page: 214

View: 1809

Big Data in Unternehmen. Dieses neue Buch gibt Managern ein umfassendes Verständnis dafür, welche Bedeutung Big Data für Unternehmen zukünftig haben wird und wie Big Data tatsächlich genutzt werden kann. Am Ende jedes Kapitels aktivieren Fragen, selbst nach Lösungen für eine erfolgreiche Implementierung und Nutzung von Big Data im eigenen Unternehmen zu suchen. Die Schwerpunkte - Warum Big Data für Sie und Ihr Unternehmen wichtig ist - Wie Big Data Ihre Arbeit, Ihr Unternehmen und Ihre Branche verändern - - wird - Entwicklung einer Big Data-Strategie - Der menschliche Aspekt von Big Data - Technologien für Big Data - Wie Sie erfolgreich mit Big Data arbeiten - Was Sie von Start-ups und Online-Unternehmen lernen können - Was Sie von großen Unternehmen lernen können: Big Data und Analytics 3.0 Der Experte Thomas H. Davenport ist Professor für Informationstechnologie und -management am Babson College und Forschungswissenschaftler am MIT Center for Digital Business. Zudem ist er Mitbegründer und Forschungsdirektor am International Institute for Analytics und Senior Berater von Deloitte Analytics.

Modeling Online Auctions

Author: Wolfgang Jank,Galit Shmueli

Publisher: John Wiley & Sons

ISBN: 9781118031865

Category: Mathematics

Page: 336

View: 8675

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation are needed to understand bidders, sellers, and prices. Combining methodologies from the fields of statistics, data mining, information systems, and economics, Modeling Online Auctions introduces a new approach to identifying obstacles and asking new questions using online auction data. The authors draw upon their extensive experience to introduce the latest methods for extracting new knowledge from online auction data. Rather than approach the topic from the traditional game-theoretic perspective, the book treats the online auction mechanism as a data generator, outlining methods to collect, explore, model, and forecast data. Topics covered include: Data collection methods for online auctions and related issues that arise in drawing data samples from a Web site Models for bidder and bid arrivals, treating the different approaches for exploring bidder-seller networks Data exploration, such as integration of time series and cross-sectional information; curve clustering; semi-continuous data structures; and data hierarchies The use of functional regression as well as functional differential equation models, spatial models, and stochastic models for capturing relationships in auction data Specialized methods and models for forecasting auction prices and their applications in automated bidding decision rule systems Throughout the book, R and MATLAB software are used for illustrating the discussed techniques. In addition, a related Web site features many of the book's datasets and R and MATLAB code that allow readers to replicate the analyses and learn new methods to apply to their own research. Modeling Online Auctions is a valuable book for graduate-level courses on data mining and applied regression analysis. It is also a one-of-a-kind reference for researchers in the fields of statistics, information systems, business, and marketing who work with electronic data and are looking for new approaches for understanding online auctions and processes. Visit this book's companion website by clicking here

Getting Started with Business Analytics

Insightful Decision-Making

Author: David Roi Hardoon,Galit Shmueli

Publisher: CRC Press

ISBN: 1439896542

Category: Business & Economics

Page: 190

View: 519

Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts and terminologies and give many examples of real-world applications. The first part of the book introduces business data and recent technologies that have promoted fact-based decision-making. The authors look at how business intelligence differs from business analytics. They also discuss the main components of a business analytics application and the various requirements for integrating business with analytics. The second part presents the technologies underlying business analytics: data mining and data analytics. The book helps you understand the key concepts and ideas behind data mining and shows how data mining has expanded into data analytics when considering new types of data such as network and text data. The third part explores business analytics in depth, covering customer, social, and operational analytics. Each chapter in this part incorporates hands-on projects based on publicly available data. Helping you make sound decisions based on hard data, this self-contained guide provides an integrated framework for data mining in business analytics. It takes you on a journey through this data-rich world, showing you how to deploy business analytics solutions in your organization.

Real-Time Data Mining

Author: Florian Stompe

Publisher: Diplomica Verlag

ISBN: 3836678799

Category: Business & Economics

Page: 106

View: 1073

Data Mining ist ein inzwischen etabliertes, erfolgreiches Werkzeug zur Extraktion von neuem, bislang unbekanntem Wissen aus Daten. In mittlerweile fast allen gr eren Unternehmen wird es genutzt um Mehrwerte f r Kunden zu generieren, den Erfolg von Marketingkampagnen zu erh hen, Betrugsverdacht aufzudecken oder beispielsweise durch Segmentierung unterschiedliche Kundengruppen zu identifizieren. Ein Grundproblem der intelligenten Datenanalyse besteht darin, dass Daten oftmals in rasanter Geschwindigkeit neu entstehen. Eink ufe im Supermarkt, Telefonverbindungen oder der ffentliche Verkehr erzeugen t glich eine neue Flut an Daten, in denen potentiell wertvolles Wissen steckt. Die versteckten Zusammenh nge und Muster k nnen sich im Zeitverlauf mehr oder weniger stark ver ndern. Datenmodellierung findet in der Regel aber noch immer einmalig bzw. sporadisch auf dem Snapshot einer Datenbank statt. Einmal erkannte Muster oder Zusammenh nge werden auch dann noch angenommen, wenn diese l ngst nicht mehr bestehen. Gerade in dynamischen Umgebungen wie zum Beispiel einem Internet-Shop sind Data Mining Modelle daher schnell veraltet. Betrugsversuche k nnen dann unter Umst nden nicht mehr erkannt, Absatzpotentiale nicht mehr genutzt werden oder Produktempfehlungen basieren auf veralteten Warenk rben. Um dauerhaft Wettbewerbsvorteile erzielen zu k nnen, muss das Wissen ber Daten aber m glichst aktuell und von ausgezeichneter Qualit t sein. Der Inhalt dieses Buches skizziert Methoden und Vorgehensweisen von Data Mining in Echtzeit.

Introductory Statistics and Analytics

A Resampling Perspective

Author: Peter C. Bruce

Publisher: John Wiley & Sons

ISBN: 1118881338

Category: Mathematics

Page: 312

View: 2947

Concise, thoroughly class-tested primer that features basicstatistical concepts in the concepts in the context of analytics,resampling, and the bootstrap A uniquely developed presentation of key statistical topics,Introductory Statistics and Analytics: A ResamplingPerspective provides an accessible approach to statisticalanalytics, resampling, and the bootstrap for readers with variouslevels of exposure to basic probability and statistics. Originallyclass-tested at one of the first online learning companies in thediscipline, www.statistics.com, the book primarily focuses onapplications of statistical concepts developed via resampling, witha background discussion of mathematical theory. This featurestresses statistical literacy and understanding, which demonstratesthe fundamental basis for statistical inference and demystifiestraditional formulas. The book begins with illustrations that have the essentialstatistical topics interwoven throughout before moving on todemonstrate the proper design of studies. Meeting all of theGuidelines for Assessment and Instruction in Statistics Education(GAISE) requirements for an introductory statistics course,Introductory Statistics and Analytics: A ResamplingPerspective also includes: Over 300 “Try It Yourself” exercises andintermittent practice questions, which challenge readers atmultiple levels to investigate and explore key statisticalconcepts Numerous interactive links designed to provide solutions toexercises and further information on crucial concepts Linkages that connect statistics to the rapidly growing fieldof data science Multiple discussions of various software systems, such asMicrosoft Office Excel®, StatCrunch, and R, to develop andanalyze data Areas of concern and/or contrasting points-of-view indicatedthrough the use of “Caution” icons Introductory Statistics and Analytics: A ResamplingPerspective is an excellent primary textbook for courses inpreliminary statistics as well as a supplement for courses inupper-level statistics and related fields, such as biostatisticsand econometrics. The book is also a general reference for readersinterested in revisiting the value of statistics.

Java programmieren lernen für Dummies

Author: Barry A. Burd

Publisher: John Wiley & Sons

ISBN: 3527812636

Category: Computers

Page: 480

View: 5799

Steigen Sie mit diesem Buch in die Welt des Programmierens ein und zwar mit der beliebten Programmiersprache Java! Schritt für Schritt werden Sie mit den Grundlagen, wie zum Beispiel Variablen, Schleifen und objektorientierter Programmierung, vertraut gemacht, probieren viele anschauliche Beispiele aus und schreiben Ihr erstes eigenes Programm. Dieses Buch steht Ihnen bei allen Herausforderungen jederzeit mit hilfreichen Tipps und Lösungsvorschlägen zur Seite, sodass Sie auf Ihrem Weg zum Programmierer optimal gerüstet sind! Mit den Programmbeispielen zum Herunterladen können Sie das Gelernte direkt ausprobieren.

Die Macht der Gewohnheit: Warum wir tun, was wir tun

Author: Charles Duhigg

Publisher: ebook Berlin Verlag

ISBN: 3827070740

Category: History

Page: 416

View: 8220

Seit kurzem versuchen Hirnforscher, Verhaltenspsychologen und Soziologen gemeinsam neue Antworten auf eine uralte Frage zu finden: Warum tun wir eigentlich, was wir tun? Was genau prägt unsere Gewohnheiten? Anhand zahlreicher Beispiele aus der Forschung wie dem Alltag erzählt Charles Duhigg von der Macht der Routine und kommt dem Mechanismus, aber auch den dunklen Seiten der Gewohnheit auf die Spur. Er erklärt, warum einige Menschen es schaffen, über Nacht mit dem Rauchen aufzuhören (und andere nicht), weshalb das Geheimnis sportlicher Höchstleistung in antrainierten Automatismen liegt und wie sich die Anonymen Alkoholiker die Macht der Gewohnheit zunutze machen. Nicht zuletzt schildert er, wie Konzerne Millionen ausgeben, um unsere Angewohnheiten für ihre Zwecke zu manipulieren. Am Ende wird eines klar: Die Macht von Gewohnheiten prägt unser Leben weit mehr, als wir es ahnen.

Statistical Methods in e-Commerce Research

Author: Wolfgang Jank,Galit Shmueli

Publisher: John Wiley & Sons

ISBN: 9780470323182

Category: Mathematics

Page: 512

View: 6653

This groundbreaking book introduces the application of statistical methodologies to e-Commerce data With the expanding presence of technology in today's economic market, the use of the Internet for buying, selling, and investing is growing more popular and public in nature. Statistical Methods in e-Commerce Research is the first book of its kind to focus on the statistical models and methods that are essential in order to analyze information from electronic-commerce (e-Commerce) transactions, identify the challenges that arise with new e-Commerce data structures, and discover new knowledge about consumer activity. This collection gathers over thirty researchers and practitioners from the fields of statistics, computer science, information systems, and marketing to discuss the growing use of statistical methods in e-Commerce research. From privacy protection to economic impact, the book first identifies the many obstacles that are encountered while collecting, cleaning, exploring, and analyzing e-Commerce data. Solutions to these problems are then suggested using established and newly developed statistical and data mining methods. Finally, a look into the future of this evolving area of study is provided through an in-depth discussion of the emerging methods for conducting e-Commerce research. Statistical Methods in e-Commerce Research successfully bridges the gap between statistics and e-Commerce, introducing a statistical approach to solving challenges that arise in the context of online transactions, while also introducing a wide range of e-Commerce applications and problems where novel statistical methodology is warranted. It is an ideal text for courses on e-Commerce at the upper-undergraduate and graduate levels and also serves as a valuable reference for researchers and analysts across a wide array of subject areas, including economics, marketing, and information systems who would like to gain a deeper understanding of the use of statistics in their work.

Visualize This!

Author: Nathan Yau

Publisher: John Wiley & Sons

ISBN: 3527760229

Category: Statistics / Graphic methods / Data processing

Page: 422

View: 4095

A guide on how to visualise and tell stories with data, providing practical design tips complemented with step-by-step tutorials.

Softwareentwicklung von Kopf bis Fuss

Author: Dan Pilone,Russ Miles

Publisher: O'Reilly Germany

ISBN: 395561946X

Category: Computers

Page: 496

View: 9683

Was lernen Sie mit diesem Buch? Haben Sie sich schon einmal gefragt, was es mit testgetriebener Entwicklung auf sich hat? Oder auf welcher Basis es die richtig guten Consultants schaffen, gewaltige Stundensätze zu kassieren? Vielleicht sind Sie auch gerade an dem Punkt, an dem Sie Ihre Builds automatisieren wollen, Ihren Code in eine Versionskontrolle füttern, einem Refactoring unterziehen oder mit ein paar Entwurfsmustern anreichern wollen. Egal: Wenn Sie mit diesem Buch fertig sind, werden Sie ganz selbstverständlich Ihre Burndown-Rate verfolgen, den Durchsatz Ihres Teams berücksichtigen und sich erfolgreich Ihren Weg durch Anforderungen, Entwurf, Entwicklung und Auslieferung iterieren. Wieso sieht dieses Buch so anders aus? Wir gehen davon aus, dass Ihre Zeit zu kostbar ist, um mit neuem Stoff zu kämpfen. Statt Sie mit Bleiwüstentexten langsam in den Schlaf zu wiegen, verwenden wir für Softwareentwicklung von Kopf bis Fuß ein visuell und inhaltlich abwechslungsreiches Format, das auf Grundlage neuster Forschungsergebnisse im Bereich der Kognitionswissenschaft und der Lerntheorie entwickelt wurde. Wir wissen nämlich, wie Ihr Gehirn arbeitet.

Wettlauf um die Zukunft

Wie Sie mit bahnbrechenden Strategien die Kontrolle über Ihre Branche gewinnen und die Märkte von morgen schaffen

Author: Gary Hamel,Coimbatore K. Prahalad

Publisher: N.A

ISBN: 9783832303181

Category:

Page: 448

View: 1247