Sponsored by the Association for the Advancement of Artificial Intelligence
The Third International Conference on Knowledge Discovery and Data Mining (KDD-96) was held August 14–17, 1997, Newport Beach, California.
The rapid growth of data and information has created a need and an opportunity for extracting knowledge from databases, and both researchers and application developers have been responding to that need. Knowledge discovery in databases (KDD), also referred to as data mining, is an area of common interest to researchers in machine discovery, statistics, databases, knowledge acquisition, machine learning, data visualization, high performance computing, and knowledge-based systems. KDD applications have been developed for astronomy, biology, finance, insurance, marketing, medicine, and many other fields. The third international conference on knowledge discovery and data mining (KDD-97) will follow up the success of KDD-95 and KDD-96 by bringing together researchers and application developers from different areas focusing on unifying themes.
Workshop
One workshop, Workshop on Issues in the Integration of Data Mining and Data Visualization, was held on Sunday, August 17. Admission to the workshops was by invitation only; registration forms were sent to the accepted participants.