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CFP: First International Workshop on Knowledge Discovery in Data Streams

From: Joćo Gama <jgama@liacc.up.pt>
Date: Mon, 19 Apr 2004 16:08:57 +0100
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Message-Id: <200404191608.57599.jgama@liacc.up.pt>

CALL FOR PAPERS
First International Workshop on Knowledge Discovery in Data Streams
24 September 2004, Pisa, Italy
http://www.lsi.us.es/~aguilar/ecml2004/

in conjunction with ECML/PKDD 2004: 
The 15th European Conference on Machine Learning (ECML) and 
The 8th European Conference on Principles and Practice of Knowledge Discovery 
in Databases (PKDD), 
http://ecmlpkdd.isti.cnr.it/

MOTIVATION
Databases are growing incessantly and many sources produce data continuously. 
In many cases, we need to extract some sort of knowledge from this continuous 
stream of data. Examples include customer click streams, telephone records, 
large sets of web pages, multimedia data, scientific data, and sets of retail 
chain transactions. These sources are called data streams. The goal of this 
workshop is to convene researchers who deal with decision rules, decision 
trees, association rules, clustering, filtering, preprocessing, post 
processing, feature selection, visualization techniques, etc. from data 
streams and related themes. We are looking for all possible contributions 
related to inductive learning from data streams.

The rapid growth in information science and technology in general and the 
complexity and volume of data in particular have introduced new challenges 
for the research community. Databases are growing incessantly and many 
sources produce data continuously. In most of real world applications, the 
process generating the data is not strictly stationary. In many cases, we 
need to extract some sort of knowledge from this continuous stream of data. 
Examples include customer click streams, telephone records, large sets of web 
pages, multimedia data, scientific data, and sets of retail chain 
transactions. These sources are called data streams. Learning from data 
streams are incremental tasks that requires incremental algorithms that take 
drift into account.

The goal of this workshop is to convene researchers who deal with decision 
rules, decision trees, association rules, clustering, filtering, 
preprocessing, post processing, feature selection, visualization techniques, 
etc. from data streams and related themes.

Research works presenting theoretical results, basic research, perspective 
solutions and practical developments are welcome, provided that they address 
the topic of the workshop. Position papers are also welcome and encouraged.
Topics of Interest
Topics include (but are not restricted to):

    * Data Stream Models
    * Clustering from Data Streams
    * Decision Trees from Data Streams
    * Association Rules from Data Streams
    * Decision Rules from Data Streams
    * Feature Selection from Data Streams
    * Visualization Techniques for Data Streams
    * Incremental on-line Learning Algorithms
    * Mining spatio-temporal data streams
    * Scalable Algorithms
    * Real-Time Applications
    * Real-World Applications

Important Dates

      Submission deadline: June 14, 2004
      Notification of acceptance: July 5, 2004
      Camera-ready copies due: July 12, 2004

Chairs

    * Joao Gama, University of Porto, Portugal
    * Jesus S. Aguilar-Ruiz, University of Seville, Spain

Program Commitee

    * Usama Fayyad, DMX Group, US
    * Philip S. Yu, IBM Watson Research Center, US
    * Minos Garofalakis, Bell Labs, US
    * Hillol Kargupta, University of Maryland, Baltimore County, US
    * Jiong Yang, University of Illinois at Urbana Champaign, US
    * Wei Wang, University of North Carolina, Chapel Hill, US
    * S. Muthukrishnan, Rutgers University and AT&T Research, US
    * Jeffrey S. Vitter, Purdue University, US
    * Venkatesh Ganti, Microsoft Research, US
    * Nick Koudas, AT&T Research, US
    * Pedro Domingos, University of Washington, US.
    * Geoff Hulten, Microsoft Research, US
    * Luis Torgo, LIACC, Univ. of Porto
    * Divesh Srivastava, AT&T Research, US
    * Nina Mishra, Stanford University, US
    * Sudipto Guha, University of Pennsylvania, US
    * Rosa Meo, University of Torino, Italy
    * Josep Roure i Alcobe, Polytechnic of Catalunya, Esp
    * Joao Gama, University of Porto, Portugal
    * Jesus S. Aguilar-Ruiz, University of Seville, Spain
Received on Monday, 19 April 2004 11:29:05 GMT

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