KDnuggets : News : 2001 : n13 : item24    (previous | next)

CFP

From: Luis Torgo ltorgo@liacc.up.pt
Date: Tue, 19 Jun 2001 16:06:50 +0100
Subject: Workshop on AI for Financial Time Series Analysis, deadline July 13
Artificial Intelligence for Financial Time Series Analysis
A Workshop of the 10th Portuguese Conference on Artificial Intelligence
(EPIA'01)

17-20 December, Porto, Portugal
Submissions deadline : 13 July 01

The 10th EPIA will continue the tradition of previous Portuguese AI
conferences and will be organized under the auspices of the Portuguese
Association for Artificial Intelligence (APPIA). The conference will
maintain its international character and continue to provide a forum for
presenting and discussing research on different aspects of AI. The
conference language is English and selected papers will be published by
Springer-Verlag.

In this edition of EPIA the conference chairs have decided to strengthen
the role of thematic workshops in order to promote discussion among
participants. The workshops will not be just satellite events, but
rather form an integral part of the conference. Certain sessions of the
workshops (e.g. invited speakers) will, at the same time, form part of
the main conference. Workshop papers of high quality will be selected
for publication in the main volume of conference proceedings.

This workshop on Artificial Intelligence for Financial Time Series
Analysis aims at proving a discussion forum for researchers interested
in the application of AI techniques in the topic of Financial Time
Series Analysis. AI-based data analysis techniques such as symbolic
machine learning, neural networks and others have being increasingly
used by financial management institutions. The exponential growth of
financial information available through the Web further stresses the
need for automatic knowledge extraction
using techniques that are able to use this information to increase the
accuracy of market forecasts. Topics of interest to this workshop
include, but are not limited to:

      - Trading and forecasting methods
      - Symbolic learning methods for time series modeling
      - Neural networks for time series modeling
      - Data pre-processing techniques for time series modeling
      - Automatic financial information extraction from the Web

Further information can be found at the workshop Web page:
http://www.ncc.up.pt/~ltorgo/AIFTSA/

KDnuggets : News : 2001 : n13 : item24    (previous | next)

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