Abstract
The rapid development of modern information technologies has led to important progress in the collecting, processing, and dissemination of data. This has resulted in the accumulation of tremendous amount of business data in databases. The ability to leverage the data has become a key success factor in an increasingly competitive global market. Knowledge discovery in databases or data mining is a new technology or methodology that seeks to automatically extract meaningful knowledge from business data. However, it is not a trivial task. Also, in order that data mining techniques can be used in real business, it is crucial to extract meaningful knowledge that can be turned into business action. The purpose of this paper is to demonstrate how useful knowledge can be extracted by new techniques of analyzing string patterns that were originally developed for areas such as genetic sequencing. We shall demonstrate a few experimental results.
