Date: Wed, 30 Jun 1999 22:59:38 -0700
From: Stephen D. Bay sbay@algonquin.ics.uci.edu
Subject: The UCI KDD Archive
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The UCI KDD Archive
Call for Datasets
http://kdd.ics.uci.edu/
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The UC Irvine Knowledge Discovery in Databases (KDD) Archive is a new
online repository (http://kdd.ics.uci.edu/) of large datasets which
encompasses a wide variety of data types, analysis tasks, and
application areas. The primary role of this repository is to serve as
a benchmark testbed to enable researchers in knowledge discovery and
data mining to scale existing and future data analysis algorithms to
very large and complex data sets.
This archive is supported by the Information and Data Management
Program at the National Science Foundation, and is intended to expand
the current UCI Machine Learning Database Repository
(http://www.ics.uci.edu/~mlearn/MLRepository.html) to datasets that
are orders of magnitude larger and more complex.
We are seeking submissions of large, well-documented datasets that can
be made publicly available. Data types and tasks of interest include,
but is not limited to:
Data Types Tasks
multivariate classification
time series regression
sequential clustering
relational density estimation
text/web retrieval
image causal modeling
spatial visualization
multimedia discovery
transactional exploratory data analysis
heterogeneous data cleaning
sound/audio recommendation systems
Submission Guidelines: Please see the UCI KDD Archive web site for
detailed instructions.
Stephen Bay (sbay@ics.uci.edu)
librarian
Copyright © 1999 KDnuggets