First
International Workshop on
Knowledge Discovery in Data Streams
24 September 2004, Pisa, Italy
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), 20-24 September, 2004, Pisa, Italy.
WORKSHOP PROGRAM
10:15-13:00 TUTORIAL: Distributed Data Mining for Sensor Networks.
Hillol Kargupta, University of Maryland, Baltimore County, Maryland, USA
13:00-14:00 LUNCH.
14:00-14:45 INVITED TALK: A GENERAL FRAMEWORK FOR MINING MASSIVE DATA STREAMS.
Pedro Domingos, University of Washington, US.
14:45-15:05 Incremental Hill-climbing Search applied to Bayesian Network Structure Learning.
Josep Roure.
15:05-15:25 Similar Section Extraction for Analysing Stream Data Structure.
Yoshiaki Itoh, Kazuyo Tanaka and Shi-wook Lee.
15:25-15:40 BREAK
15:40-16:00 Hierarchical Time-Series Clustering for Data Streams.
Pedro Rodrigues, Joao Gama, Joao Pedro Pedroso.
16:00-16:20 Resource-aware Knowledge Discovery in Data Streams.
Mohamed Medhat Gaber, Arkady Zaslavsky, Shonali Krishnaswamy.
16:20-16:30 Mining Data Streams using Option Trees.
G. Holmes, R. Kirkby, B. Pfahringer.
16:30-16:40 An Online EM Algorithm using Component Reduction.
Nobou Suematsu, Kumiko Maebashi, Akira Hayashi.
16:40-17:00 COFFEE BREAK
17:00-17:20 An Efficient Algorithm for Mining Frequent Itemsets over the Entire History of Data Streams.
Hua-Fu Li, Suh-Yin Lee, Man-Kwan Shan.
17:20-17:40 Identification of Bursts in a Document Stream.
Toshiaki Fujiki, Tomoyuki Nanno, Yasuhiro Suzuki, Manabu Okumura.
17:40-18:00 TSET: An Algorithm for Mining Frequent Temporal Patterns.
Francisco Guil, Alfonso Bosch, Roque Marin.
18:00-18:10 Sequential Regularization - Detecting Drift.
Ricardo Fernandes, Joao Gama.
18:10-18:20 CLOSING
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