AUTOMATED DATA-GATHERING TECHNIQUES, TOGETHER WITH INEXPENSIVE MASS-memory storage apparatus, have allowed the acquisition and retention of prodigious amounts of data. Point-of-sale customer purchases, temperature and pressure readings (along with other weather data), news feeds, financial transactions of all sorts, Web pages, and Web interaction records are just a few of numerous examples. But the great volume of raw data calls for efficient “data-mining” techniques for classifying, quantifying, and extracting useful information. Machine learning methods are playing an increasingly important role in data analysis because they can deal with massive amounts of data. In fact, the more data the better.
Most machine learning methods ...