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The
6th International Conference on Discovery Science
Hokkaido University Conference Hall, Sapporo, Japan |
Program
16 Oct (Thur)
17:30- Registration
18:00- Reception at Sapporo Aspen Hotel (very closed to the conference cite)
17 Oct (Fri)
8:30-
Registration
9:00-9:10
Opening
9:10-10:10 Invited talk
Can Learning in the Limit be Done Efficiently?
Thomas Zeugmann
10:10-10:20 Short Break
10:20-10:45
Discovery with Boolean Formulas
Extraction of Coverings as Monotone DNF Formulas
Kouichi Hirata, Ryosuke Nagazumi, Masateru Harao
10:45-11:00 Break
11:00 -12:15 Models of
Discovery
Dialectical Evidence Assembly
for Discovery
Alistair Fletcher, John Davis
Discovering Ecosystem Models from Time-Series Data
Dileep George, Kazumi Saito, Pat Langley, Stephen Bay, Kevin R.
Arrigo
Modelling Soil Radon
Concentration for Earthquake Prediction
Sašo Džeroski, Ljupčo
Todorovski, Boris Zmazek, Janja Vaupotič, Ivan Kobal
12:40-14:00
Lunch Break
14:00-15:00 Invited talk
Abduction and the Dualization Problem
Thomas Eiter
15:00-15:10 Short Break
15:10-16:25 Discovery with Logic and Frequency
Enumerating Maximal Frequent Sets using Irredundant
Dualization
Ken Satoh, Takeaki Uno
Mining Frequent Itemsets with Category-based
Constraints
Tien Dung Do, Siu Cheung Hui, Alvis Fong
An Optimal Strategy for Extracting Probabilistic
Rules by Combining Rough Sets and Genetic Algorithm
Xiaoshu Hang, Honghua Dai
16:25-16:40 Break
16:40-17:30 Short Paper Session
1(Talks)
17:30-18:30 Short Paper Session 1(Posters)
(1) Discovery
of Rules and Patterns
Association Rules
and Dempster-Shafer Theory of Evidence
Tetsuya Murai, Yasuo Kudo,
Yoshiharu Sato
Discovery of Cellular
Automata Rules Using Cases
Ken-ichi Maeda, Chiaki Sakama
Discovering Most Classificatory
Patterns for Very Expressive Pattern Classes
Masayuki Takeda,
Shunsuke Inenaga, Hideo Bannai, Ayumi Shinohara, Setsuo Arikawa
Mining Interesting Patterns Using Estimated
Frequencies from Subpatterns and Superpatterns
Yukiko Yoshida, Yuiko
Ohta, Nobuhiro Yugami
(2) Discovery from Text Data
Discovering Homographs using N-partite Graph
Clustering
Hidekazu Nakawatase, Akiko Aizawa
A Method of Extracting Related Words Using
Standardized Mutual Information
Tomohiko Sugimachi, Akira Ishino,
Masayuki Takeda, Fumihiro Matsuo
(3) Discovering Chemical and
Biological Knowledge
Knowledge
Discovery on Chemical Reactivity from Experimental Reaction Information
Hiroko Satoh, Tadashi Nakata
Prediction of Molecular Bioactivity for Drug Design
using a Decision Tree Algorithm
Sanghoon Lee, Jihoon Yang, Kyung-whan
Oh
A Genetic Algorithm for Inferring
Pseudoknotted RNA Structures from Sequence Data
Dongkyu Lee,
Kyungsook Han
Mining RNA Structure
Elements from the Structure Data of Protein-RNA Complexes
Daeho Lim,
Kyungsook Han
18 Oct (Sat)
8:30- Registration
9:00-10:00 Invited talk
Signal Extraction and Knowledge Discovery Based on
Statistical Modeling
Genshiro Kitagawa
10:00-10:10 Short
Break
10:10-11:00 Performance Analysis
Performance Analysis of a Greedy Algorithm for
Inferring Boolean Functions
Daiji Fukagawa, Tatsuya Akutsu
Performance Evaluation of Decision Tree
Graph-Based Induction
Warodom Geamsakul, Takashi Matsuda, Tetsuya
Yoshida, Hiroshi Motoda, Takashi Washio
11:00-11:15 Break
11:15-12:30 Discovery according to the
Structure of Rules
Clustering Orders
Toshihiro Kamishima, Jun Fujiki
Chaining Patterns
Taneli Mielikäinen
Improving Efficiency of Frequent Query
Discovery by Eliminating Non-relevant Candidates
Jérôome
Maloberti, Einoshin Suzuki
12:30-14:00 Lunch Break
14:00-15:00 Invited talk
Efficient Data Representations that Preserve
Information
Naftali Tishby
15:00-15:15 Break
15:15-16:45 Short Paper Session 2 (Talks)
16:45-17:45 Short Paper
Session 2 (Posters)
(4) Models of Discovery
Using Constraints in Discovering Dynamics
Sašo Džeroski, Ljupčo Todorovski, Peter Ljubič
Effects of Unreliable Group Profiling by means of
Data Mining
Bart Custers
Inducing Biological Models from Temporal Gene
Expression Data
Kazumi Saito, Dileep George, Stephen Bay, Jeff
Shrager
Discovery of Trends and States
in Irregular Medical Temporal data
Trong Dung Nguyen, Saori Kawasaki,
Tu Bao Ho
(5) Theory for Discovery
Creating Abstract Concepts for Classification by
Finding Top-N Maximal Weighted Cliques
Yoshiaki
Okubo, Makoto Haraguchi
Mining Multiple
Clustering Data for Knowledge Discovery
Thanh Tho Quan, Siu Cheung
Hui, Alvis Fong
Automatic
Classification for the Identification of Relationships in a Meta-Data
Repository
Gerd Beuster, Ulrich Furbach, Margret Gross-Hardt, Bernd
Thomas
Collaborative Filtering using
Projective Restoration Operators
Atsuyoshi Nakamura, Mineichi Kudo,
Akira Tanaka, Kazuhiko Tanabe
(6)Systems and Languages for
Discovery
Elements of Agile Discovery
Environment
Peter A. Grigoriev, Serhiy A. Yevtushenko
Discovery of User Preference in Personalized Design
Recommender System through Combining Collaborative Filtering and Content Based
Filtering
Kyung-Yong Jung, Jason J. Jung, Jung-Hyun Lee
An Appraisal of UNIVAUTO - The First Discovery
Program to Generate a Scientific Article
Vladimir Pericliev
Scilog: A Language for Scientific
Processes and Scales
Joseph Phillips
(7) Application of
Discovery to Graphics
SA-Optimized
Multiple View Smooth Polyhedron Representation NN
Mohamad Ivan Fanany, Itsuo Kumazawa
Content-Based Scene Change Detection of Video
Sequence using Hierarchical Hidden Markov Model
Jong-Hyun Park,
Soon-Young Park, Seong-Jun Kang, Wan-Hyun Cho
(8) Discovery and the
Web and BBS
Discovery of Web
Communities from Positive and Negative Examples
Tsuyoshi Murata
Subgroup Discovery among Personal
Homepages
Toyohisa Nakada, Susumu Kunifuji
Bacterium Lingualis - the Web-based Commonsensical
Knowledge Discovery Method
Rafal Rzepka, Kenji Araki, Koji Tochinai
Discovery of Relationships between
Interests from Bulletin Board System by Dissimilarity Reconstruction
Kou Zhongbao, Ban Tao, Zhang Changshui
18:00-19:00 Business
Meeting at Sapporo Aspen Hotel (very closed to the conference cite)
19:00-21:00 Banquet at Sapporo Aspen Hotel (very closed to the conference cite)
19 Oct (Sun)
8:30- Registration
9:00-10:00 Invited talk
Association Computation for Information
Access
Akihiko Takano
10:00-10:10 Short Break
10:10-11:00 Discovery from the Web
Discovering Rich Navigation Patterns on a Web Site
Karine Chevalier, Cécile Bothorel, Vincent Corruble
Discovering Frequent Substructures in Large Unordered
Trees
Tatsuya Asai, Hiroki Arimura, Takeaki Uno, Shin-ichi Nakano
11:00-11:15 Break
11:15-12:30 Practical Application of
Discovery Methods
What Kinds and
Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective
Markers as Clues?
Takashi Inui, Kentaro Inui, Yuji Matsumoto
Discovering Exceptional Information
from Customer Inquiry by Association Rules Miner
Keiko Shimazu,
Atsuhito Momma, Koichi Furukawa
Business Application for Sales Transaction Data by
Using Genome Analysis Technology
Naoki Katoh, Katsutoshi Yada,
Yukinobu Hamuro
12:30-12:40 Closing
Adjourn