Workshop on Data Discretization and Segmentation for Knowledge Discovery(DDS13)

****        Deadline Extended         ****
****  New  Deadline : August 7, 2013  ****

A workshop in  the fifth JSAI International Symposia on AI (isAI2013)

October 27, 2013 (Sun)
Keio University
Hiyoshi, Yokohama, JAPAN
https://sites.google.com/site/dds13workshop/

Decomposing one datum into a set of several small data is found playing a crucial role in Computer Science. Usually decomposition indicates an operation to consecutive data structure but in the context of Machine Learning Knowledge Discovery, decomposition can include, for example, segmentation of sentences in natural languages and segmentation of time series, and moreover can be extended so that discretization of continuous data is also an example. The focus of this workshop is on segmentation methods to various types of data, such as graphs, trees, strings, and continuous data, and their applications to Machine Learning and Knowledge Discovery.  Scientific results are welcomed based on, but not restricted to, the keywords listed and their applications to bioinformatics, natural language processing, social network analysis, and the other areas.


Keywords:
    segmentation methods for consecutive data,
    discretization methods for continuous data,
    granular computing for machine learning and knowledge discovery,
    data compression for knowledge discovery,
    algebraic methods,
    formal language theory

Important dates:
    Full paper submission deadline: July 31, 2013   August 7, 2013 ****Extended****
    Notification of acceptance: August 26, 2013  August 31, 2013
    Deadline for camera-ready copy: September 24, 2013
    DDS13: October 27, 2013


Registration
Please follow the instruction indicated in isAI:

 
 
How to Submit:
DDS13 accepts extended abstracts written in English only. The abstracts are distributed in the workshop sites only and not considered to be formal publications. The extended abstract should be 1-8 pages in the format attached below.
    http://www.dumbo.ai.kyutech.ac.jp/hirata/LLLL/jsaiws_template.lzh
The authors should send their submitted papers as a PDF file  to
    dds13workshop@gmail.com
Please write the text `[DDS13: Paper Submission]' in the subject of the massage, and put the following in the body:
- Title of your paper,
- A list of all authors and their affiliations  (please add "*" mark to the
presenter),
- Name, Telephone number, and E-mail address of the corresponding author.

Selected Papers:
Proceedings will be published by JSAI for the workshop. We also plan to publish a selection of revised papers as a portion of a volume "JSAI-isAI selected papers", which will be published from `Lecture Notes in Artificial Intelligence' series(Springer-Verlag).
 

Workshop chair:
    Akihiro Yamamoto (Kyoto University)

PC co-chairs:
    Tetsuji Kuboyama (Gakushuin University)
    Hiroshi Sakamoto (Kyushu Institute of Technology)

PC members:
Hiroki Arimura     (Hokkaido University)
Basabi Chakraborty (Iwate Prefectural University)
Kouichi Hirata     (Kyushu Institute of Technology)
Yoshinobu Kawahara (Osaka University)
Nobuhiro Kaji      (The University of Tokyo)
Noriaki Kawamae    (NTT COMWARE)
Tetsuji Kuboyama   (Gakushuin University)
Tesuhiro Miyahara  (Hiroshima City University)
Yoshiaki Okubo     (Hokkaido University)
Hiroshi Sakamoto   (Kyushu Institute of Technology)
Takeshi Shinohara  (Kyushu Institute of Technology)
Tomoyuki Uchida    (Hiroshima City University)
Akihiro Yamamoto   (Kyoto University)

DDS13 Extended Abstract Format