Techniques and applications of KDD

Abstract

Increasing amounts of data are collected in application domains as diverse as finance, market data analysis, astronomy, manufacturing, and education. Large datasets can lead to knowledge essential in domain understanding and decisionmaking, but knowledge discovery requires intelligent and largely automatic methods and systems, supporting the analysts. The rapidly emerging field of Knowledge Discovery in Databases (KDD) provides these tools. It also assimilates methods of machine learning and discovery, statistics, databases, and visualization.