Knowledge Discovery and Data Mining Conference Papers
Sponsored by the American Association for Artificial Intelligence
Advances in data gathering, storage, and distribution technologies have far outpaced our advances in techniques for helping humans analyze, understand, and digest this information. This has led to an all-too-common data glut situation creating a strong need and a valuable opportunity for extracting knowledge from databases. Both researchers and application developers have been responding to that need. Knowledge discovery in databases (KDD) and data mining are areas of common interest to researchers in machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. KDD applications have been developed for astronomy, biology, finance, insurance, marketing, medicine, and many other fields. The papers in these proceedings focus on such problems.
Current holdings in the AAAI Digital Library include papers from the following conferences:
- Proceedings of the Fourth Knowledge Discovery and Data Mining Conference (KDD-1998)
- Proceedings of the Third Knowledge Discovery and Data Mining Conference (KDD-1997)
- Proceedings of the Second Knowledge Discovery and Data Mining Conferencee (KDD-1996)
- Proceedings of the First Knowledge Discovery and Data Mining Conference (KDD-1995)