The Second International Conference on Knowledge Discovery and Data Mining
Sponsored by the Association for the Advancement of Artificial Intelligence
The Second International Conference on Knowledge Discovery and Data Mining (KDD-96) was held August 2–4, 1996, in Portland, Oregon
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. 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. KDD applications have been developed for
astronomy, biology, finance, insurance, marketing, medicine, and many
other fields.
The first international conference on Knowledge Discovery and Data
Mining (KDD-95), held in Montréal in August 1995, was an
outstanding success, attracting over 340 participants. The second international
conference will follow up the success of KDD-95 by bringing together
researchers and application developers from different areas focusing
on unifying themes.
With the dramatic advances in data
acquisition and storage technologies, the problem of how to turn raw data into
useful information has become one of the most daunting problems facing modern
society. Having reached sizes that defy even partial examination by humans,
modern databases and collections of data sets are literally drowning their
users in data. This data firehose phenomenon appears in a wide spectrum of
fields including retail and corporate marketing, medical and healthcare,
financial markets, and engineering, manufacturing, and science data analysis.
Knowledge discovery in databases (KDD) and data mining are areas of common
interest to researchers in AI, pattern recognition, statistics, databases,
knowledge acquisition, data visualization, high performance computing, and
expert systems. KDD-96 follows on the success of KDD-95 held in
Montréal, and continues the tradition of the KDD workshops from 1989 –
1994, by bringing together researchers and application developers from
different areas, and focusing on unifying themes such as the automated
extraction of patterns and models from databases, statistical inference, issues
of scaling to massive data sets, the use of domain knowledge, managing
uncertainty, interactive (human-oriented) presentation, and applications. The
KDD conference also includes invited talks, demo and poster sessions, and panel
discussions.
Evangelos Simoudis and Jiawei Han
Program Committee Cochairs
Usama Fayyad
General Conference Chair
The Conference
For further information about the KDD 1996 Conference, consult the following: