Front matter
1-20
Abduction and the Dualization Problem
Thomas Eiter and Kazuhisa Makino
21-32
Signal Extraction and Knowledge Discovery Based on Statistical Modeling
Genshiro Kitagawa
33-44
Association Computation for Information Access
Akihiko Takano
45
Efficient Data Representations That Preserve Information
Naftali Tishby
46
Can Learning in the Limit Be Done Efficiently?
Thomas Zeugmann
47-61
Discovering Frequent Substructures in Large Unordered Trees
Tatsuya Asai, Hiroki Arimura, Takeaki Uno and Shin-ichi Nakano
62-75
Discovering Rich Navigation Patterns on a Web Site
Karine Chevalier, Cécile Bothorel and Vincent Corruble
76-86
Mining Frequent Itemsets with Category-Based Constraints
Tien Dung Do, Siu Cheung Hui and Alvis Fong
87-99
Modelling Soil Radon Concentration for Earthquake Prediction
Sašo Džeroski, Ljupco Todorovski, Boris Zmazek, Janja Vaupotic and Ivan Kobal
100-113
Dialectical Evidence Assembly for Discovery
Alistair Fletcher and John Davis
114-127
Performance Analysis of a Greedy Algorithm for Inferring Boolean Functions
Daiji Fukagawa and Tatsuya Akutsu
128-140
Performance Evaluation of Decision Tree Graph-Based Induction
Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda and Takashi Washio
141-152
Discovering Ecosystem Models from Time-Series Data
Dileep George, Kazumi Saito, Pat Langley, Stephen Bay and Kevin R. Arrigo
153-165
An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm
Xiaoshu Hang and Honghua Dai
166-179
Extraction of Coverings as Monotone DNF Formulas
Kouichi Hirata, Ryosuke Nagazumi and Masateru Harao
180-193
What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?
Takashi Inui, Kentaro Inui and Yuji Matsumoto
194-207
Clustering Orders
Toshihiro Kamishima and Jun Fujiki
208-219
Business Application for Sales Transaction Data by Using Genome Analysis Technology
Naoki Katoh, Katsutoshi Yada and Yukinobu Hamuro
220-232
Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates
Jérôme Maloberti and Einoshin Suzuki
233-244
Chaining Patterns
Taneli Mielikäinen
245-255
An Algorithm for Discovery of New Families of Optimal Regular Networks
Oleg Monakhov and Emilia Monakhova
256-268
Enumerating Maximal Frequent Sets Using Irredundant Dualization
Ken Satoh and Takeaki Uno
269-282
Discovering Exceptional Information from Customer Inquiry by Association Rule Miner
Keiko Shimazu, Atsuhito Momma and Koichi Furukawa
283-290
Automatic Classification for the Identification of Relationships in a Meta-Data Repository
Gerd Beuster, Ulrich Furbach, Margret Gross-Hardt and Bernd Thomas
291-296
Effects of Unreliable Group Profiling by Means of Data Mining
Bart Custers
297-305
Using Constraints in Discovering Dynamics
Sašo Džeroski, Ljupčo Todorovski and Peter Ljubič
306-310
SA-Optimized Multiple View Smooth Polyhedron Representation NN
Mohamad Ivan Fanany and Itsuo Kumazawa
311-319
Elements of an Agile Discovery Environment
Peter A. Grigoriev and Serhiy A. Yevtushenko
320-327
Discovery of User Preference in Personalized Design Recommender System through Combining Collaborative Filtering and Content Based Filtering
Kyung-Yong Jung, Jason J. Jung and Jung-Hyun Lee
328-335
Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction
Kou Zhongbao, Ban Tao and Zhang Changshui
336-343
A Genetic Algorithm for Inferring Pseudoknotted RNA Structures from Sequence Data
Dongkyu Lee and Kyungsook Han
344-351
Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm
Sanghoon Lee, Jihoon Yang and Kyung-whan Oh
352-359
Mining RNA Structure Elements from the Structure Data of Protein-RNA Complexes
Daeho Lim and Kyungsook Han
360-368
Discovery of Cellular Automata Rules Using Cases
Ken-ichi Maeda and Chiaki Sakama
369-376
Discovery of Web Communities from Positive and Negative Examples
Tsuyoshi Murata
377-384
Association Rules and Dempster-Shafer Theory of Evidence
Tetsuya Murai, Yasuo Kudo and Yoshiharu Sato
385-392
Subgroup Discovery among Personal Homepages
Toyohisa Nakada and Susumu Kunifuji
393-401
Collaborative Filtering Using Projective Restoration Operators
Atsuyoshi Nakamura, Mineichi Kudo, Akira Tanaka and Kazuhiko Tanabe
402-409
Discovering Homographs Using N-Partite Graph Clustering
Hidekazu Nakawatase and Akiko Aizawa
410-417
Discovery of Trends and States in Irregular Medical Temporal Data
Trong Dung Nguyen, Saori Kawasaki and Tu Bao Ho
418-425
Creating Abstract Concepts for Classification by Finding Top-N Maximal Weighted Cliques
Yoshiaki Okubo and Makoto Haraguchi
426-433
Content-Based Scene Change Detection of Video Sequence Using Hierarchical Hidden Markov Model
Jong-Hyun Park, Soon-Young Park, Seong-Jun Kang and Wan-Hyun Cho
434-441
An Appraisal of UNIVAUTO – The First Discovery Program to Generate a Scientific Article
Vladimir Pericliev
442-451
Scilog: A Language for Scientific Processes and Scales
Joseph Phillips
452-459
Mining Multiple Clustering Data for Knowledge Discovery
Thanh Tho Quan, Siu Cheung Hui and Alvis Fong
460-467
Bacterium Lingualis – The Web-Based Commonsensical Knowledge Discovery Method
Rafal Rzepka, Kenji Araki and Koji Tochinai
468-469
Inducing Biological Models from Temporal Gene Expression Data
Kazumi Saito, Dileep George, Stephen Bay and Jeff Shrager
470-477
Knowledge Discovery on Chemical Reactivity from Experimental Reaction Information
Hiroko Satoh and Tadashi Nakata
478-485
A Method of Extracting Related Words Using Standardized Mutual Information
Tomohiko Sugimachi, Akira Ishino, Masayuki Takeda and Fumihiro Matsuo
486-493
Discovering Most Classificatory Patterns for Very Expressive Pattern Classes
Masayuki Takeda, Shunsuke Inenaga, Hideo Bannai, Ayumi Shinohara and Setsuo Arikawa
494-501
Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns
Yukiko Yoshida, Yuiko Ohta, Ken’ichi Kobayashi and Nobuhiro Yugami
Back matter