Predicting the Future:
AI Approaches to Time-Series Problems
Papers from the AAAI Workshop
Andrea Danyluk, Chair
Jointly Sponsored by the International Conference on Machine Learning
July 27, 1998, Madison Wisconsin
Technical Report WS-98-07
92 pp., $30.00
ISBN 978-1-57735-060-6
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Many dream of being able to predict the future. In finance, accurate predictions can direct portfolio management decisions. In marketing, predicting future demand for products and services can direct capital allocation. When crystal balls are not available, one may rely on analysis of historical data to discover predictive patterns. Temporal patterns are of particular interest because of the large number of high-profile applications that include historical time series. The goal of this workshop was to bring together AI researchers who study time-series problems, along with practitioners and researchers from related fields, in order to establish common ground.