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| Symposium
5: Data/Text Mining from Large Databases |
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| Aims
and Scope: |
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The need for analysis of large collections of data and text is
growing from year to year; that is why text/data mining has received
considerable attention from both research and application. The symposium
aims to provide an international forum for researchers and practitioners
to share their new ideas, original research results and practical
development experiences in data and text mining. The symposium includes
various data/text mining related topics (but not limited to)
- Data mining and machine learning algorithms and systems
- Knowledge acquisition and automatic scientific discovery
- Text and Web mining techniques and applications
- Information extraction and information retrieval
- Scientific knowledge creation by data/text mining
- Challenges and roles of data/text mining in systems science
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| Chair:
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Tu Bao Ho, Japan Advanced Institute of Science and Technology (JAIST)
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| Symposium
Program Committee: |
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Ho Tu Bao
Takashi Okada
Nada Lavrac
Nguyen Le Minh
Marcin Szczuka
Takashi Washio
Zhi-Hua Zhou
Masashi Shimbo
Graham Williams
Saori Kawasaki |
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JAIST, Japan
Kwansei Gakuin University, Japan
J. Stefan Institute, Slovenia
JAIST, Japan
Warsaw University, Poland
Osaka University, Japan
Nanjing University, China
NAIST, Japan
ATO, Australia
JAIST, Japan |
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| Contact:
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Prof. Tu Bao Ho
Japan Advanced Institute of Science and Technology (JAIST)
1-1 Asahidai, Nomi-city
Ishikawa 923-1292 Japan
Tel: +81-761-51-1730
Fax: +81-761-51-1730
Email here.
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