Table of Contents

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