Further Readings

About Data and Big Data

  1. Davenport, Thomas H. Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. Cambridge, MA: Harvard Business Review, 2014.
  2. Harkness, Timandra. Big Data: Does Size Matter? New York: Bloomsbury Sigma, 2016.
  3. Kitchin, Rob. The Data Revolution: Big Data, Open Data, Data Infrastructures, and Their Consequences. Los Angeles: Sage, 2014.
  4. Mayer-Schönberger, Viktor, and Kenneth Cukier. Big Data: A Revolution That Will Transform How We Live, Work, and Think. Boston: Eamon Dolan/Mariner Books, 2014.
  5. Pomerantz, Jeffrey. Metadata. Cambridge, MA: MIT Press, 2015.
  6. Rudder, Christian. Dataclysm: Who We Are (When We Think No One’s Looking). New York: Broadway Books, 2014.

About Data Science, Data Mining, and Machine Learning

  1. Kelleher, John D., Brian Mac Namee, and Aoife D’Arcy. Fundamentals of Machine Learning for Predictive Data Analytics. Cambridge, MA: MIT Press, 2015.
  2. Linoff, Gordon S., and Michael J. A. Berry. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management. Indianapolis, IN: Wiley, 2011.
  3. Provost, Foster, and Tom Fawcett. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. Sebastopol, CA: O’Reilly Media, 2013.

About Privacy, Ethics, and Advertising

  1. Dwork, Cynthia, and Aaron Roth. 2014. “The Algorithmic Foundations of Differential Privacy.” Foundations and Trends® in Theoretical Computer Science 9 (3–4): 211–407.
  2. Nissenbaum, Helen. Privacy in Context: Technology, Policy, and the Integrity of Social Life. Stanford, CA: Stanford Law Books, 2009.
  3. Solove, Daniel J. Nothing to Hide: The False Tradeoff between Privacy and Security. New Haven, CT: Yale University Press, 2013.
  4. Turow, Joseph. The Daily You: How the New Advertising Industry Is Defining Your Identity and Your Worth. New Haven, CT: Yale University Press, 2013.