Executive Education: Data Mining

Author: Michael Berry Gordon Linoff (USA)
Publisher:
Publish Date: 2004-01-01
Features: Provides concise and practical MBA solutions for the tough problems faced by corporate executives, serving as a desk reference for CEOs, CFOs, CTOs, and CIOs. The series is used by the top ten business schools in the United States: Stanford University Graduate School of Business, Harvard Business School, The Wharton School of the University of Pennsylvania, MIT Sloan School of Management, Northwestern University Kellogg School of Management, Duke University Fuqua School of Business, University of Chicago Graduate School of Business, Columbia University Graduate School of Business, Dartmouth College Tuck School of Business, and UC Berkeley Haas School of Business.
Data mining is the fastest-growing technology in the information field. Many different experts, such as statisticians and database specialists, have found opportunities for growth in this field, making data mining an increasingly hot topic in the business world. With the development of information technology, people have become more sophisticated in collecting data, leading to the accumulation of ever-increasing amounts of data, which now reach gigabytes (GB) or even terabytes (TB). High-dimensional data is also becoming mainstream. These massive datasets and their high-dimensional characteristics make traditional data analysis methods seem inadequate.
The continuous advancement of computer performance allows us to expect computers to help us analyze and understand data, enabling us to make informed decisions based on rich datasets.