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Prospective Scientific Methodology in Knowledge Society

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Advances in Knowledge Discovery and Data Mining (PAKDD 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5012))

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Abstract

Due to rapid development of information and communication technologies, the methodology of scientific research and the society itself is changing. The present grand challenge is the development of the fourth methodology for scientific researches to create knowledge based on large scale massive data. To realize this, it is necessary to develop a method of integrating various types of information and of personalization, and the Bayes modeling is becoming the key technology. In the latter half of the paper, several time series examples are presented to show the importance of careful modeling that can take into account of essential information.

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Author information

Authors and Affiliations

  1. The Institute of Statisical Mathematics, 4-6-7 Minami-Azabu, Minato-ku, Tokyo, 106-8569, Japan

    Genshiro Kitagawa

Authors
  1. Genshiro Kitagawa
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Editor information

Takashi Washio Einoshin Suzuki Kai Ming Ting Akihiro Inokuchi

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© 2008 Springer-Verlag Berlin Heidelberg

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Kitagawa, G. (2008). Prospective Scientific Methodology in Knowledge Society. In: Washio, T., Suzuki, E., Ting, K.M., Inokuchi, A. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2008. Lecture Notes in Computer Science(), vol 5012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68125-0_5

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  • DOI: https://doi.org/10.1007/978-3-540-68125-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68124-3

  • Online ISBN: 978-3-540-68125-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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