Data mining for the masses

Front Cover
CreateSpace Independent Publishing Platform, Jan 8, 2016 - Data mining - 312 pages

We live in a world that generates tremendous amounts of data-more than ever before. In business, and in our personal lives, we use smartphones and tablets, web sites and watches; with dozens of apps and interfaces to shop, learn, entertain and inform. Businesses increasingly use technology to interact with consumers to provide marketing, customer service, product information and more. All of this technological activity generates data-data that can be useful in many ways.

Data mining can help to identify interesting patterns and messages that exist, often hidden beneath the surface. In this modern age of information systems, it is easier than ever before to extract meaning from data. From classification to prediction, data mining can help.

In Data Mining for the Masses, Second Edition, professor Matt North-a former risk analyst and software engineer at eBay-uses simple examples and clear explanations with free, powerful software tools to teach you the basics of data mining. In this Second Edition, implementations of these examples are offered in both an updated version of the RapidMiner software, and in the popular R Statistical Package.

You've got more data than ever before and you know it's got value, if only you can figure out how to get to it. This book can show you how. Let's start digging!

Author's Note: The first edition of this text continues to be available for download, free of charge as a PDF file, from the GlobalText online library.

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About the author (2016)

Dr. Matthew North is a professor of Information Systems at Utah Valley University in Orem, Utah, USA. He has taught courses in database design, management, administration, security and data mining for more than a decade, and previously worked in industry as a software engineer and data miner, most recently at He has previously held professorships at Washington & Jefferson College, The College of Idaho, and as a Fulbright Specialist at Universidad Tecnológica Nacional is Santa Fe, Argentina. He continues to consult with various organizations on data mining projects as well.Dr. North holds a Bachelor of Arts degree in Latin American History and Portuguese from Brigham Young University; a Master of Science in Business Information Systems from Utah State University; and a Doctorate in Technology Education from West Virginia University. He is the author of the book Life Lessons & Leadership (Agami Press, 2011), and numerous papers and articles on technology and pedagogy. His dissertation, on the topic of teaching models and learning styles in introductory data mining courses, earned him a New Faculty Fellows award from the Center for Advancement of Scholarship on Engineering Education (CASEE); and in 2010, he was awarded the Ben Bauman Award for Excellence by the International Association for Computer Information Systems (IACIS).

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