Time
|
Authors |
Titles |
2:00--2:05
|
Workshop
Chairs
|
Opening |
2:05--2:45
|
Invited Speakers:
Dr. Oscar Kipersztok (Boeing Research) Dr. Sheng Ma (IBM Research)
|
Invited Talk:
Industrial Application of Temporal
Data Mining
Part I: Temporal Data Mining Applications to Aircraft
Maintenance Part II: Temporal Data Mining for Autonomic Computing
|
2:45--3:05
|
Tak-chung Fu et al.
(Hong Kong Polytechnic University)
|
Financial Time Series Indexing based on Low
Resolution Clustering |
3:05--3:25
|
Wei Xu et al.
(UC Berkeley) |
A Flexible Architecture for Statistical Learning
and Data Mining from System Log Streams |
3:25--3:45
|
Ehud Gudes et al. (Ben-Gurion University of the Negev, Israel)
|
Discovering Target Event Rules based on
Time-consecutive Pattern Mining |
3:45--4:15
|
|
Break
|
4:15--4:35
|
Lior Cohen et al.
(Ben-Gurion
University of the Negev, Israel) |
Incremental Info-fuzzy Algorithms for Real Time
Data Mining of Non-stationary Data Streams |
4:35--4:55
|
Shen-Shyang Ho and Harry Wechsler (George
Mason
University) |
Learning from data streams via online transduction |
4:55--5:15
|
Jarkko Tikka and Jaakko
Hollmen
(Helsinki University of Technology) |
Learning linear dependency trees from
multivariate time-series data |
5:15--5:35
|
Andreas D. Lattner and
Otthein
Herzog (University of Bremen, Germany) |
Unsupervised Learning of Sequential Patterns |
5:35--5:55
|
Francisco Guil et al. (University of Almeria) |
TSET^{MAX}: An Algorithm for Mining Frequent
Maximal Temporal Patterns |
5:55--6:00
|
Workshop
Chairs
|
Closing
|