Ask, Measure, Learn

Using Social Media Analytics to Understand and Influence Customer Behavior

Author: Lutz Finger,Soumitra Dutta

Publisher: "O'Reilly Media, Inc."

ISBN: 1449336833

Category: Business & Economics

Page: 338

View: 6860

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You can measure practically anything in the age of social media, but if you don’t know what you’re looking for, collecting mountains of data won’t yield a grain of insight. This non-technical guide shows you how to extract significant business value from big data with Ask-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results. Authors Lutz Finger and Soumitra Dutta originally devised this system to help governments and NGOs sift through volumes of data. With this book, these two experts provide business managers and analysts with a high-level overview of the Ask-Measure-Learn system, and demonstrate specific ways to apply social media analytics to marketing, sales, public relations, and customer management, using examples and case studies.
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Information Systems Development

Towards a Service Provision Society

Author: George Angelos Papadopoulos,Wita Wojtkowski,Gregory Wojtkowski,Stanislaw Wrycza,Jože Zupancic

Publisher: Springer Science & Business Media

ISBN: 038784810X

Category: Computers

Page: 974

View: 9472

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This volume constitutes the published proceedings of the 17th International Conference on Information Systems Development. They present the latest and greatest concepts, approaches, and techniques of systems development - a notoriously transitional field.
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R: Recipes for Analysis, Visualization and Machine Learning

Author: Viswa Viswanathan,Shanthi Viswanathan,Atmajitsinh Gohil,Yu-Wei, Chiu (David Chiu)

Publisher: Packt Publishing Ltd

ISBN: 178728879X

Category: Computers

Page: 959

View: 2405

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Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning About This Book Proficiently analyze data and apply machine learning techniques Generate visualizations, develop interactive visualizations and applications to understand various data exploratory functions in R Construct a predictive model by using a variety of machine learning packages Who This Book Is For This Learning Path is ideal for those who have been exposed to R, but have not used it extensively yet. It covers the basics of using R and is written for new and intermediate R users interested in learning. This Learning Path also provides in-depth insights into professional techniques for analysis, visualization, and machine learning with R – it will help you increase your R expertise, regardless of your level of experience. What You Will Learn Get data into your R environment and prepare it for analysis Perform exploratory data analyses and generate meaningful visualizations of the data Generate various plots in R using the basic R plotting techniques Create presentations and learn the basics of creating apps in R for your audience Create and inspect the transaction dataset, performing association analysis with the Apriori algorithm Visualize associations in various graph formats and find frequent itemset using the ECLAT algorithm Build, tune, and evaluate predictive models with different machine learning packages Incorporate R and Hadoop to solve machine learning problems on big data In Detail The R language is a powerful, open source, functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics. This Learning Path is chock-full of recipes. Literally! It aims to excite you with awesome projects focused on analysis, visualization, and machine learning. We'll start off with data analysis – this will show you ways to use R to generate professional analysis reports. We'll then move on to visualizing our data – this provides you with all the guidance needed to get comfortable with data visualization with R. Finally, we'll move into the world of machine learning – this introduces you to data classification, regression, clustering, association rule mining, and dimension reduction. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: R Data Analysis Cookbook by Viswa Viswanathan and Shanthi Viswanathan R Data Visualization Cookbook by Atmajitsinh Gohil Machine Learning with R Cookbook by Yu-Wei, Chiu (David Chiu) Style and approach This course creates a smooth learning path that will teach you how to analyze data and create stunning visualizations. The step-by-step instructions provided for each recipe in this comprehensive Learning Path will show you how to create machine learning projects with R.
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Information Security and Ethics: Concepts, Methodologies, Tools, and Applications

Concepts, Methodologies, Tools, and Applications

Author: Nemati, Hamid

Publisher: IGI Global

ISBN: 1599049384

Category: Education

Page: 4478

View: 2930

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Presents theories and models associated with information privacy and safeguard practices to help anchor and guide the development of technologies, standards, and best practices. Provides recent, comprehensive coverage of all issues related to information security and ethics, as well as the opportunities, future challenges, and emerging trends related to this subject.
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Practical Business Intelligence with SQL Server 2005

Author: John C. Hancock,Roger Toren

Publisher: Pearson Education

ISBN: 9780321614872

Category: Computers

Page: 432

View: 1140

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Design, Build, and Manage High-Value BI Solutions with SQL Server 2005 In this book, two of Microsoft’s leading consultants illustrate how to use SQL Server 2005 Business Intelligence (BI) technologies to solve real-world problems in markets ranging from retail and finance to healthcare. Drawing on extensive personal experience with Microsoft’s strategic customers, John C. Hancock and Roger Toren offer unprecedented insight into BI systems design and step-by-step best practices for implementation, deployment, and management. Hancock and Toren introduce practical BI concepts and terminology and provide a concise primer on the Microsoft BI platform. Next, they turn to the heart of the book–constructing solutions. Each chapter-length case study begins with the customer’s business goals, and then guides you through detailed data modeling. The case studies show how to avoid the pitfalls that derail many BI projects. You’ll translate each model into a working system and learn how to deploy it into production, maintenance, and efficient operation. Whether you’re a decision-maker, architect, developer, or DBA, this book brings together all the knowledge you’ll need to derive maximum business value from any BI project. • Leverage SQL Server 2005 databases, Integration Services, Analysis Services, and Reporting Services • Build data warehouses and extend them to support very large databases • Design effective Analysis Services databases • Ensure the superior data quality your BI system needs • Construct advanced enterprise scorecard applications • Use data mining to segment customers, cross-sell, and increase the value of each transaction • Design real-time BI applications • Get hands-on practice with SQL Server 2005’s BI toolset
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Biology: Concepts and Applications

Author: Cecie Starr,Christine Evers,Lisa Starr

Publisher: Cengage Learning

ISBN: 1439046735

Category: Science

Page: 864

View: 5031

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Clear, engaging, and visual, BIOLOGY: CONCEPTS AND APPLICATIONS equips non-biology majors with the science they'll need in life! Renowned for its writing style and trendsetting art, the new edition includes an enhanced visual pedagogy, learning features, and media options. Helping visual learners, Figure It Out questions in many illustrations ensure students understand the concepts. The new Data Analysis Activities at the end of every chapter help students strengthen their analytical skills. New Take Home Messages ensure students grasp key concepts while special features like the chapter opening case studies and How Would You Vote? questions enliven the subject matter and make relevant connections between biology and real-life concerns. Helpful media options include the interactive Aplia program that connects with today's students. Throughout this issues-oriented text, the authors emphasize that biology is an ongoing endeavor carried out by a diverse community of people and prepare students to make decisions that require an understanding of the process of science and basic biological principles. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Biology: Concepts and Applications without Physiology

Author: Cecie Starr,Christine Evers,Lisa Starr

Publisher: Cengage Learning

ISBN: 0538739258

Category: Science

Page: 576

View: 6465

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Clear, engaging, and visual, BIOLOGY: CONCEPTS AND APPLICATIONS equips non-biology majors with the science they’ll need in life! Renowned for its writing style and trendsetting art, the new edition includes an enhanced visual pedagogy, learning features, and media options. Helping visual learners, Figure It Out questions in many illustrations ensure students understand the concepts. The new Data Analysis Activities at the end of every chapter help students strengthen their analytical skills. New Take Home Messages ensure students grasp key concepts while special features like the chapter opening case studies and How Would You Vote? questions enliven the subject matter and make relevant connections between biology and real-life concerns. Helpful media options include the interactive Aplia program that connects with today’s students. Throughout this issues-oriented text, the authors emphasize that biology is an ongoing endeavor carried out by a diverse community of people and prepare students to make decisions that require an understanding of the process of science and basic biological principles. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Scientific American

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Science

Page: N.A

View: 3055

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Monthly magazine devoted to topics of general scientific interest.
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