2018 Big Data Analytics textbook

Welcome! Here is the textbook for GPIM 452, which starts in April 2018. Other information from the course last year is available on this web site.

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

by Galit Shmueli et al.

This textbook is required.  It’s a good survey of the topic. It uses R, which is the only language we will use in the course.

You can get the  book  on Amazon for about $106, or Kindle for $90, or a company called VitalSource  online version for about $100. I’m not familiar with them, but they appear to have sensible study aids, and they claim “read anywhere, 100% offline.” Data Mining for Business Analytics: Concepts, Techniques, and Applications in R 1st edition | 9781118879368 | VitalSource.   You can even rent the book from Amazon for $44. So everyone will find it worthwhile to have your own copy for the assignments, studying, etc.  Finally, I have asked the UCSD bookstore to get it. I suspect they will charge close to the list price.

The UCSD library, via Springerlink.com and other sources, has a variety of good books on data mining, AI, business analytics, and so forth. All are available free, and most can be downloaded as PDFs. We will use chapters from some of these books.  Our supplemental textbook is from this source: Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery by Graham Williams. Log in from campus (or VPN) so you don’t have to pay for it.

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I'm a professor at UC San Diego. Most of my research is about specific technologies, and how to improve them faster.

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