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ORCID1st DS 1998: Fukuoka, Japan
- Setsuo Arikawa, Hiroshi Motoda:
Discovery Science, First International Conference, DS '98, Fukuoka, Japan, December 14-16, 1998, Proceedings. Lecture Notes in Computer Science 1532, Springer 1998, ISBN 3-540-65390-2 - Keiichi Noé:
Philosophical Aspects of Scientific Discovery: A Historical Survey. 1-11 - Heikki Mannila, Hannu Toivonen, Atte Korhola
, Heikki Olander:
Learning, Mining, or Modeling? A Case Study from Paleocology. 12-24 - Pat Langley:
The Computer-Aided Discovery of Scientific Knowledge. 25-39 - Shinichi Morishita:
On Classification and Regression. 40-57 - Stephen H. Muggleton:
Knowledge Discovery in Biological and Chemical Domains. 58-59 - Kuniaki Uehara:
Random Case Analysis of Inductive Learning Algorithms. 60-71 - Steffen Lange, Gunter Grieser:
On Variants of Iterative Learning. 72-83 - Yosuke Hayashi, Satoshi Matsumoto, Ayumi Shinohara, Masayuki Takeda:
Uniform Characterizations of Polynomial-Query Learnabilities. 84-92 - Yasuhito Mukouchi, Ikuyo Yamaue, Masako Sato:
Inferring a Rewriting System from Examples. 93-104 - Osamu Maruyama, Tomoyuki Uchida, Takayoshi Shoudai, Satoru Miyano:
Toward Genomic Hypothesis Creator: View Designer for Discovery. 105-116 - Takashi Hirata, Harumi Maeda, Toyoaki Nishida:
Visualization of Community Knowledge Interaction Using Associative Representation. 117-128 - Mayumi Yamasaki, Masayuki Takeda, Tomoko Fukuda, Ichiro Nanri:
Discovering Characteristic Patterns from Collections of Classical Japanese Poems. 129-140 - Takeshi Shinohara, Jiyuan An, Hiroki Ishizaka:
Approximate Retrieval of High-Dimensional Data by Spatial Indexing. 141-149 - Carlos Domingo, Ricard Gavaldà, Osamu Watanabe:
Practical Algorithms for On-line Sampling. 150-161 - Tetsuya Yoshida, Teruyuki Kondo:
Discovering Conceptual Differences among People from Cases. 162-173 - Yukio Ohsawa, Masahiko Yachida:
Discovery of Unknown Causes from Unexpected Co-occurrence of Inferred Known Causes. 174-185 - Wataru Sunayama, Yuji Nomura, Yukio Ohsawa, Masahiko Yachida:
Refining Search Expression by Discovering Hidden User's Interests. 186-197 - Hiroshi Tsukimoto, Chie Morita:
The Discovery of Rules from Brain Images. 198-209 - Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto:
Instance Guided Rule Induction. 210-219 - Michael J. Pazzani:
Learning with Globally Predictive Tests. 220-231 - Jongpil Yoon, Larry Kerschberg:
Query Initiated Discovery of Interesting Association Rules. 232-243 - Kai Ming Ting, Zijian Zheng:
Boosting Cost-Sensitive Trees. 244-255 - Eiji Takimoto, Akira Maruoka:
On the Boosting Algorithm for Multiclass Functions Based on Information-Theoretic Criterion for Approxiamtion. 256-267 - Michael Boronowsky:
The Continuous-Function Attribute Class in Decision Tree Induction. 268-278 - Huan Liu, Rudy Setiono:
Feature Transformation and Multivariate Decision Tree Induction. 279-290 - Petr Hájek, Martin Holena:
Formal Logics of Discovery and Hypothesis Formation by Machine. 291-302 - Kimihito Ito, Akihiro Yamamoto:
Finding Hypotheses from Examples by Computing the Least Generalization of Bottom Clauses. 303-314 - Koichi Furukawa:
On the Completion of the Most Specific Hypothesis Computation in Inverse Entailment for Mutual Recursion. 315-325 - Stephen H. Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg:
Biochemical Knowledge Discovery Using Inductive Logic Programming. 326-341 - Ryohei Nakano, Kazumi Saito:
Computational Characteristics of Law Discovery Using Neural Networks. 342-351 - Takashi Washio, Hiroshi Motoda:
Development of SDS2: Smart Discovery System for Simultaneous Equation Systems. 352-363 - Koichi Niijima, Hidemi Uchida, Eiju Hirowatari, Setsuo Arikawa:
Discovery of Differential Equations from Numerical Data. 364-374 - Genshiro Kitagawa, Tomoyuki Higuchi:
Automatic Transaction of Signal via Statistical Modeling. 375-386 - Naoki Abe, Hiroshi Mamitsuka, Atsuyoshi Nakamura:
Empirical Comparison of Competing Query Learning Methods. 387-388 - Yoshitaka Kameya, Taisuke Sato:
Abstracting a Human's Decision Process by PRISM. 389-390 - Hiroshi H. Hasegawa, Yoshikazu Ohtaki:
Mechanisms of Self-Organized Renormalizability. 391-392 - Hiroki Arimura, Atsushi Wataki, Ryoichi Fujino, Shinichi Shimozono, Setsuo Arikawa:
An Efficient Tool for Discovering Simple Combinatorial Patterns from Large Text Databases. 393-394 - Makoto Haraguchi, Tokuyasu Kakuta:
A Similarity Finding System under a Goal Concept. 395-396 - Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh:
Parallel Induction Algorithms for Large Samples. 397-398 - Xiaolong Zhang, Tetsuo Narita, Masayuki Numao:
Toward Effective Knowledge Acquisition with First Order Logic Induction. 399-400 - Janis Barzdins, Rusins Freivalds, Carl H. Smith:
A Logic of Discovery. 401-402 - Jingde Cheng:
A Strong Relevant Logic Model of Epistemic Processes in Schientific Discovery. 403-404 - Jan Rauch:
Four-Fold Table Calculi for Discovery Science. 405-406 - Yoshinori Nakanishi, Kuniaki Uehara:
Parallel Organization Algorithm for Graph Matching and Subgraph Isomorphism Detection. 407-408 - Etsuya Shibayama, Jun Yabe, Shin Takahashi, Mitsuru Matsuda:
Visualizing Semantic Clusters in the Internet Information Space. 409-410 - Sachio Hirokawa, Tsuyoshi Taguchi:
KN on ZK - Knowledge Network on Network Note Pad ZK. 411-412 - Takao Mohri, Yuji Takada:
Virtual Integration of Distributed Database by Multiple Agents. 413-414 - Tu Bao Ho, Trong Dung Nguyen, Ngoc Binh Nguyen, Takuyu Ito:
Development of Some Methods and Tools for Discovering Conceptual Knowledge. 415-416 - Akiko N. Aizawa:
Reducing the Dimensions of Attributes by Selection and Aggregation. 417-418 - Atsuhiro Takasu:
On the Number of Clusters in Cluster Analysis. 419-420 - Mary Inaba, Hiroshi Imai:
Geometric Clustering Models in Feature Space. 421-422 - Shin-Mu Tseng:
Efficient Mining of Association Rules with Item Constraints. 423-424 - Juzhen Dong, Ning Zhong, Setsuo Ohsuga:
GDT-RS: A Probabilistic Rough Induction Approach. 425-426 - Maria do Carmo Nicoletti, Flavia Oliveira Santos:
A Constructive Fuzzy NGE Learning System. 427-428 - Akihiro Suyama, Naoya Negishi, Takahira Yamaguchi:
Composing Inductive Applications Using Ontologies for Machine Learning. 429-430 - Jeffrey A. Goldman, Wesley W. Chu, Douglas Stott Parker Jr., Robert M. Goldman:
TDDA, a Data Mining Tool for Text Databases: A Case History in a Lung Cancer Text Database. 431-432 - Phyllis Anwyl, Atsushi Itoh, Ayako Oono:
crowww Classification and Retrieval on WWW. 433-434 - Maria de Fatima Rodrigues, Carlos Ramos, Pedro Rangel Henriques:
Extracting Knowledge Patterns from Ticket Data. 435-436 - Motoyuki Suzuki, Teruhiko Maeda, Hiroki Mori, Shozo Makino:
Automatic Acquisition of Phoneme Models and Its Application to Phoneme Labeling of a Large Size of Speech Corpus. 437-438 - Kazunori Matsumoto:
An Experimental Agricultural Data Mining System. 439-440 - Yukinobu Hamuro, Naoki Katoh, Katsutoshi Yada:
Data Mining Oriented System for Business Applications. 441-442 - Shigeru Takano, Teruya Minamoto, Koichi Niijima:
Moving Object Recognition Using Wavelets and Learning of Eigenspaces. 443-444 - Takehiko Tanaka, Takashi Imajo:
Search for New Methods for Assignment of Complex Molecular Spectra and a Program Package for Simulation of Molecular Spectra. 445-446 - Jaroslava Halova, Oldrich Strouf, Premysl Zak, Anna Sochorova, Noritaka Uchida, Hiroshi Okimoto, Tomoaki Yuzuri, Kazuhisa Sakakibara, Minoru Hirota:
Computer Aided Hypothesis Based Drug Discovery Using CATALYSTRTM and PC GUHA Software Systems (A Case Study of Catechol Analogs Against Malignant Melanoma). 447-448 - Toyofumi Saito, Jun-ichiro Toriwaki, Kensaku Mori:
Knowledge Discovery through the Navigation Inside the Human Body. 449-450 - Tohru Araki, Toshihiko Iyemori, Masahito Nose, Takaaki Wada, Yoshifumi Futaana, Genta Ueno, Toyohisa Kamei, Akiniro Saito:
Application of Discovery Science to Solar-Terrestrial Physics. 451-452 - Hiroshi Sawai, Hayato Ohwada, Fumio Mizoguchi:
Incorporating a Navigation Tool into a WWW Browser. 453-454
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