Front matter
567
Philosophical Aspects of Scientific Discovery: A Historical Survey
Keiichi Noé
575
Learning, Mining, or Modeling? A Case Study from Paleoecology
Heikki Mannila, Hannu Toivonen, Atte Korhola and Heikki Olander
574
The Computer-Aided Discovery of Scientific Knowledge
Pat Langley
567
On Classification and Regression
Shinichi Morishita
569
Knowledge Discovery in Biological and Chemical Domains
Stephen Muggleton
561
Random Case Analysis of Inductive Learning Algorithms
Kuniaki Uehara
555
On Variants of Iterative Learning
Steffen Lange and Gunter Grieser
571
Uniform Characterizations of Polynomial-Query Learnabilities
Yosuke Hayashi, Satoshi Matsumoto, Ayumi Shinohara and Masayuki Takeda
568
Inferring a Rewriting System from Examples
Yasuhito Mukouchi, Ikuyo Yamaue and Masako Sato
565
Toward Genomic Hypothesis Creator: View Designer for Discovery
Osamu Maruyama, Tomoyuki Uchida, Takayoshi Shoudai and Satoru Miyano
557
Visualization of Community Knowledge Interaction Using Associative Representation
Takashi Hirata, Harumi Maeda and Toyoaki Nishida
129-141
Discovering Characteristic Patterns from Collections of Classical Japanese Poems
Mayumi Yamasaki, Masayuki Takeda, Tomoko Fukuda and Ichirō Nanri
562
Approximate Retrieval of High-Dimensional Data by Spatial Indexing
Takeshi Shinohara, Jiyuan An and Hiroki Ishizaka
554
Practical Algorithms for On-Line Sampling
Carlos Domingo, Ricard Gavaldà and Osamu Watanabe
568
Discovering Conceptual Differences among People from Cases
Tetsuya Yoshida and Teruyuki Kondo
174-186
Discovery of Unknown Causes from Unexpected Co-occurrence of Inferred Known Causes
Yukio Ohsawa and Masahiko Yachida
568
Refining Search Expression by Discovering Hidden User’s Interests
Wataru Sunayama, Yuji Nomura, Yukio Ohsawa and Masahiko Yachida
563
The Discovery of Rules from Brain Images
Hiroshi Tsukimoto and Chie Morita
557
Instance Guided Rule Induction
Nobuhiro Yugami, Yuiko Ohta and Seishi Okamoto
558
Learning with Globally Predictive Tests
Michael J. Pazzani
570
Query-Initiated Discovery of Interesting Association Rules
Jongpil Yoon and Larry Kerschberg
574
Boosting Cost-Sensitive Trees
Kai Ming Ting and Zijian Zheng
62
On the Boosting Algorithm for Multiclass Functions Based on Information-Theoretic Criterion for Approximation
Eiji Takimoto and Akira Maruoka
575
The Continuous—Function Attribute Class in Decision Tree Induction
Michael Boronowsky
279-291
Feature Transformation and Multivariate Decision Tree Induction
Huan Liu and Rudy Setiono
572
Formal Logics of Discovery and Hypothesis Formation by Machine
Petr Hájek and Martin Holeňa
575
Finding Hypotheses from Examples by Computing the Least Generalization of Bottom Clauses
Kimihito Ito and Akihiro Yamamoto
564
On the Completion of the Most Specific Hypothesis Computation in Inverse Entailment for Mutual Recursion
Koichi Furukawa
560
Biochemical Knowledge Discovery Using Inductive Logic Programming
Stephen Muggleton, Ashwin Srinivasan, R. D. King and M. J. E. Sternberg
563
Computational Characteristics of Law Discovery Using Neural Networks
Ryohei Nakano and Kazumi Saito
352-364
Development of SDS2: Smart Discovery System for Simultaneous Equation Systems
Takashi Washio and Hiroshi Motoda
576
Discovery of Differential Equations from Numerical Data
Koichi Niijima, Hidemi Uchida, Eiju Hirowatari and Setsuo Arikawa
560-561
Automatic Transaction of Signal via Statistical Modeling
Genshiro Kitagawa and Tomoyuki Higuchi
574
Empirical Comparison of Competing Query Learning Methods
Naoki Abe, Hiroshi Mamitsuka and Atsuyoshi Nakamura
389-391
Abstracting a Human’s Decision Process by PRISM
Yoshitaka Kameya and Taisuke Sato
554
Mechanisms of Self-organized Renormalizability
Hiroshi H. Hasegawa and Yoshikazu Ohtaki
393-395
An Efficient Tool for Discovering Simple Combinatorial Patterns from Large Text Databases
Hiroki Arimura, Atsushi Wataki, Ryoichi Fujino, Shinichi Shimozono and Setsuo Arikawa
570
A Similarity Finding System under a Goal Concept
Makoto Haraguchi and Tokuyasu Kakuta
567
Parallel Induction Algorithms for Large Samples
Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki and Hidenori Itoh
557
Toward Effective Knowledge Acquisition with First Order Logic Induction
Xiaolong Zhang, Tetsuo Narita and Masayuki Numao
63
A Logic of Discovery
Jānis Bārzdiņš, Rūsiŋņ Freivalds and Carl H. Smith
62
A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery
Jingde Cheng
405-407
Four-Fold Table Calculi for Discovery Science
Jan Rauch
63
Parallel Organization Algorithm for Graph Matching and Subgraph Isomorphism Detection
Yoshinori Nakanishi and Kuniaki Uehara
575-576
Visualizing Semantic Clusters in the Internet Information Space
Etsuya Shibayama, Jun Yabe, Shin Takahashi and Mitsuru Matsuda
563
KN on ZK — Knowledge Network on Network Note Pad ZK
Sachio Hirokawa and Tsuyoshi Taguchi
564
Virtual Integration of Distributed Database by Multiple Agents
Takao Mohri and Yuji Takada
559
Development of Some Methods and Tools for Discovering Conceptual Knowledge
Tu Bao Ho, Trong Dung Nguyen, Ngoc Binh Nguyen and Takuyu Ito
417-419
Reducing the Dimensions of Attributes by selection and Aggregation
Akiko Aizawa
62-63
On the Number of Clusters in Cluster Analysis
Atsuhiro Takasu
421-423
Geometric Clustering Models in Feature Space
Mary Inaba and Hiroshi Imai
558
Efficient Mining of Association Rules with Item Constraints
Shin-Mu Tseng
425-427
GDT-RS: A Probabilistic Rough Induction Approach
Juzhen Dong, Ning Zhong and Setsuo Ohsuga
555
A Constructive Fuzzy NGE Learning System
Maria Carmo do Nicoletti and Flavia Oliveira Santos
429-431
Composing Inductive Applications Using Ontologies for Machine Learning
Akihiro Suyama, Naoya Negishi and Takahira Yamagchi
431-433
TDDA, a Data Mining Tool for Text Databases: A Case History in a Lung Cancer Text Database
Jeffrey A. Goldman, Wesley Chu, D. Stott Parker and Robert M. Goldman
433-435
Crowww
Classification and Retrieval on WWW
Phyllis Anwyl, Atsushi Itoh and Ayako Oono
574
Extracting Knowledge Patterns from Ticket Data
Maria Fatima de Rodrigues, Carlos Ramos and Pedro Rangel Henriques
573
Automatic Acquisition of Phoneme Models and Its Application to Phoneme Labeling of a Large Size of Speech Corpus
Motoyuki Suzuki, Teruhiko Maeda, Hiroki Mori and Shozo Makino
573
An Experimental Agricultural Data Mining System
Kazunori Matsumoto
560
Data Mining Oriented System for Business Applications
Yukinobu Hamuro, Naoki Katoh and Katsutoshi Yada
564
Moving Object Recognition Using Wavelets and Learning of Eigenspaces
Shigeru Takano, Teruya Minamoto and Koichi Niijima
565
Search for New Methods for Assignment of Complex Molecular Spectra and a Program Package for Simulation of Molecular Spectra
Takehiko Tanaka and Takashi Imajo
563
Computer Aided Hypotheses Based Drug Discovery Using CATALYSTRTM and PC GUHA Software Systems
A Case Study of Catechol Analogs Against Malignant Melanoma)
Jaroslava Halova, Oldrich Strouf, Premysl Zak, Anna Sochorova and Noritaka Uchida, et al.
449-451
Knowledge Discovery through the Navigation Inside the Human Body
Toyofumi Saito, Jun-ichiro Toriwaki and Kensaku Mori
566
Application of Discovery Science to Solar-Terrestrial Physics
Tohru Araki, Toshihiko Iyemori, Masahito Nose, Takaaki Wada and Yoshifumi Futaana, et al.
453-455
Incorporating a Navigation Tool into a WWW Browser
Hiroshi Sawai, Hayato Ohwada and Fumio Mizoguchi
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