Data Mining History

Published a paper regarding a theorem for relating current prob. to prior prob. called, the Bayes' Theorem.

Regression is one of the key tools in data mining. The goal of regression analysis is to estimate the relationships among variables.

Alan Turing introduced the idea of a "Universal Machine" capable of performing computations like our modern day computers.

Lawrence J. Fogel formed a new comp. called Decision Science, Inc. for apps of evolutionary programming. It was the first company applying evolutionary computation to solve real-world problems.

It's possible to store and query terabytes and petabytes of data. However, extracting insights of these data warehouses of multidimensional models is very limited.

John Henry Holland wrote, "Adaptation in Natural and Artificial Systems", the ground breaking book on genetic algorithms.

The term, "data mining" started appearing in the database community. Retail companies and the financial community were using data mining to analyze data and trends to increase their customer base, predict change in interest rates, stock prices, etc.

Money ball, by Michael Lewis, is published and the way many major league offices do business. The Oakland Athletics used a statistical, data-driven approach to select qualities in players that were "undervalued" and cheaper to obtain. With this, they successfully assembled a team that brought them to the playoffs with 1/3 the payroll.

Data mining is widespread in business, engineering, science, medicine and much more. The ability to mine credit card transactions, stock market movements, national security, clinical trials are just a few.