Mining New Gold Managing Your Business Data
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Mining New Gold Managing Your Business Data
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Author : Penny Jeffrey and Gillian Garbus
language : en
Publisher:
Release Date : 2017-09
Mining New Gold Managing Your Business Data written by Penny Jeffrey and Gillian Garbus and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09 with Business & Economics categories.
Data 1. What is the data? 2. Can data be validated? Is it accurate? 3. How do we store the data? 4. Is there a way to make money on the data? 5. How does changing expectations of data change your company's future? In this book, we will be reviewing these issues to help business leaders create a path to protecting, using, and storing data that makes sense and to save money, time, and effort.
Mining New Gold Managing Your Business Data
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Author : Penny
language : en
Publisher: AuthorHouse
Release Date : 2017-09-01
Mining New Gold Managing Your Business Data written by Penny and has been published by AuthorHouse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-01 with Business & Economics categories.
Data 1. What is the data? 2. Can data be validated? Is it accurate? 3. How do we store the data? 4. Is there a way to make money on the data? 5. How does changing expectations of data change your companys future? In this book, we will be reviewing these issues to help business leaders create a path to protecting, using, and storing data that makes sense and to save money, time, and effort.
Mastering Data Mining The Art And Science Of Customer Relationship Management
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Author : Michael J. A. Berry
language : en
Publisher:
Release Date : 2008-09-01
Mastering Data Mining The Art And Science Of Customer Relationship Management written by Michael J. A. Berry and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-01 with categories.
Special Features: · Best-in-class data mining techniques for solving critical problems in all areas of business· Explains how to pick the right data mining techniques for specific problems· Shows how to perform analysis and evaluate results· Features real-world examples from across various industry sectors· Companion Web site with updates on data mining products and service providers About The Book: Companies have invested in building data warehouses to capture vast amounts of customer information. The payoff comes with mining or getting access to the data within this information gold mine to make better business decisions. Readers and reviewers loved Berry and Linoff's first book, Data Mining Techniques, because the authors so clearly illustrate practical techniques with real benefits for improved marketing and sales. Mastering Data Mining takes off from there-assuming readers know the basic techniques covered in the first book, the authors focus on how to best apply these techniques to real business cases. They start with simple applications and work up to the most powerful and sophisticated examples over the course of about 20 cases. (Ralph Kimball used this same approach in his highly successful Data Warehouse Toolkit). As with their first book, Mastering Data Mining is sufficiently technical for database analysts, but is accessible to technically savvy business and marketing managers. It should also appeal to a new breed of database marketing managers.
Understand Manage And Prevent Algorithmic Bias
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Author : Tobias Baer
language : en
Publisher: Apress
Release Date : 2019-06-07
Understand Manage And Prevent Algorithmic Bias written by Tobias Baer and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-07 with Computers categories.
Are algorithms friend or foe? The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we decide not take a bite of food that appears to have gone bad. However, inherent bias negatively affects work environments and the decision-making surrounding our communities. While the creation of algorithms and machine learning attempts to eliminate bias, they are, after all, created by human beings, and thus are susceptible to what we call algorithmic bias. In Understand, Manage, and Prevent Algorithmic Bias, author Tobias Baer helps you understand where algorithmic bias comes from, how to manage it as a business user or regulator, and how data science can prevent bias from entering statistical algorithms. Baer expertly addresses some of the 100+ varieties of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors—and originates in—these human tendencies. Baer dives into topics as diverse as anomaly detection, hybrid model structures, and self-improving machine learning. While most writings on algorithmic bias focus on the dangers, the core of this positive, fun book points toward a path where bias is kept at bay and even eliminated. You’ll come away with managerial techniques to develop unbiased algorithms, the ability to detect bias more quickly, and knowledge to create unbiased data. Understand, Manage, and Prevent Algorithmic Bias is an innovative, timely, and important book that belongs on your shelf. Whether you are a seasoned business executive, a data scientist, or simply an enthusiast, now is a crucial time to be educated about the impact of algorithmic bias on society and take an active role in fighting bias. What You'll Learn Study the many sources of algorithmic bias, including cognitive biases in the real world, biased data, and statistical artifact Understand the risks of algorithmic biases, how to detect them, and managerial techniques to prevent or manage them Appreciate how machine learning both introduces new sources of algorithmic bias and can be a part of a solutionBe familiar with specific statistical techniques a data scientist can use to detect and overcome algorithmic bias Who This Book is For Business executives of companies using algorithms in daily operations; data scientists (from students to seasoned practitioners) developing algorithms; compliance officials concerned about algorithmic bias; politicians, journalists, and philosophers thinking about algorithmic bias in terms of its impact on society and possible regulatory responses; and consumers concerned about how they might be affected by algorithmic bias
Data Mining For Managers
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Author : R. Boire
language : en
Publisher: Springer
Release Date : 2014-11-17
Data Mining For Managers written by R. Boire and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-17 with Business & Economics categories.
Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a data mining expert with over 30 years of experience, this book uses case studies to help marketers, brand managers and IT professionals understand how to capture and measure data for marketing purposes.
Organizational Data Mining
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Author : Hamid R. Nemati
language : en
Publisher: IGI Global
Release Date : 2004-01-01
Organizational Data Mining written by Hamid R. Nemati and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Business & Economics categories.
Mountains of business data are piling up in organizations every day. These organizations collect data from multiple sources, both internal and external. These sources include legacy systems, customer relationship management and enterprise resource planning applications, online and e-commerce systems, government organizations and business suppliers and partners. A recent study from the University of California at Berkeley found the amount of data organizations collect and store in enterprise databases doubles every year, and slightly more than half of this data will consist of "reference information," which is the kind of information strategic business applications and decision support systems demand (Kestelyn, 2002). Terabyte-sized (1,000 megabytes) databases are commonplace in organizations today, and this enormous growth will make petabyte-sized databases (1,000 terabytes) a reality within the next few years (Whiting, 2002). By 2004 the Gartner Group estimates worldwide data volumes will be 30 times those of 1999, which translates into more data having been produced in the last 30 years than during the previous 5,000 (Wurman, 1989).
Making Big Data Work For Your Business
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Author : Sudhi Sinha
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-10-28
Making Big Data Work For Your Business written by Sudhi Sinha and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-28 with Business & Economics categories.
If your are interested in the power of Big Data to drive improvement in your business, then this book will help you build and initiate a project for positive change.
Microsoft Data Mining
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Author : Barry de Ville
language : en
Publisher: Digital Press
Release Date : 2001-05
Microsoft Data Mining written by Barry de Ville and has been published by Digital Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-05 with Computers categories.
This guide teaches data mining from the perspective of IT professionals using Microsoft data management and e-commerce technologies. The book explains major new data mining capabilities in the forthcoming SQL Server 2000, Microsoft Commerce Server, and other products, and details the new Microsoft standard, "OLE DB for Data Mining".
Data Mining And Business Intelligence
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Author : Stephan Kudyba
language : en
Publisher: IGI Global
Release Date : 2001-01-01
Data Mining And Business Intelligence written by Stephan Kudyba and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-01-01 with Computers categories.
Annotation Provides an overview of data mining technology and how it is applied in a business environment. Material is not written in a technical style, but rather addresses the applied methodology behind implementing data mining techniques in the corporate environment. Explains how the technology evolved, overviews the methodologies that comprise the data mining spectrum, and looks at everyday business applications for data mining, in areas such as marketing and advertising promotions and pricing policies using econometric-based modeling, and using the Internet to help improve an organization's performance. Kudyba is an economic consultant. Hoptroff is an independent consultant with experience in data mining software. Annotation c. Book News, Inc., Portland, OR (booknews.com).
Understand Data Mining
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Author : IntroBooks
language : en
Publisher: IntroBooks
Release Date : 2016-02-13
Understand Data Mining written by IntroBooks and has been published by IntroBooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-13 with Computers categories.
Data mining is definitely not a piece of cake. There are those who spend years in the specialization of this particular field in order to operate businesses smoothly. Are you looking for a data mining course? You too, have the ability and the means to learn all the tricks that go into data mining. This book has been specifically written for those looking for a thorough introduction of data mining from the basic definition of the little details that add up to data mining of businesses of large magnitude. If you feel there is room for better quality assurance and smooth data mining of your business then this is the best possible book for you. The book covers the basics of data mining in a rather comprehensive manner. Don't worry about the technicality and difficulty level of the terminology as the explanation has been simplified to such an extent that anyone and everyone can benefit from it. Here's a preview of what you should expect to learn from this book: What is Data Mining? Types of Digitalized Data and Information Categorization of Data Mining Systems Issues with Data Mining Data mining tips that help you stand out as an effective business manager Continue reading for absolute motivation and superior data mining skills to operate your business flawlessly. ******************* IntroBooks delivers up to the minute information covering everything on a topic in only one hour of reading. This book is written to give essential information in a straight-to-the-point, easy to read format. We have cut out technical jargon, waffle and unnecessary filler to ensure you get the essential information you need to achieve your goals with confidence.