ABSTRACT
In Chapter 6, we designed algorithms to analyze and manipulate text, which isstored as a sequence of characters. In this chapter, we will design algorithms to process and learn from more general collections of data. The problems in this chapter involve earthquake measurements, SAT scores, isotope ratios, unemployment rates, meteorite locations, consumer demand, river flow, and more. Data sets such as these have become a (if not, the) vital component of many scientific, non-profit, and commercial ventures. Many of these now employ experts in data science and/or data mining who use advanced techniques to transform data into valuable information to guide the organization.
