Abstract is missing.
- Abduction and the Dualization ProblemThomas Eiter, Kazuhisa Makino. 1-20 [doi]
- Signal Extraction and Knowledge Discovery Based on Statistical ModelingGenshiro Kitagawa. 21-32 [doi]
- Association Computation for Information AccessAkihiko Takano. 33-44 [doi]
- Efficient Data Representations That Preserve InformationNaftali Tishby. 45 [doi]
- Can Learning in the Limit Be Done Efficiently?Thomas Zeugmann. 46 [doi]
- Discovering Frequent Substructures in Large Unordered TreesTatsuya Asai, Hiroki Arimura, Takeaki Uno, Shin-Ichi Nakano. 47-61 [doi]
- Discovering Rich Navigation Patterns on a Web SiteKarine Chevalier, Cécile Bothorel, Vincent Corruble. 62-75 [doi]
- Mining Frequent Itemsets with Category-Based ConstraintsTien Dung Do, Siu Cheung Hui, Alvis Cheuk M. Fong. 76-86 [doi]
- Modelling Soil Radon Concentration for Earthquake PredictionSaso Dzeroski, Ljupco Todorovski, Boris Zmazek, Janja Vaupotic, Ivan Kobal. 87-99 [doi]
- Dialectical Evidence Assembly for DiscoveryAlistair Fletcher, John Davis. 100-113 [doi]
- Performance Analysis of a Greedy Algorithm for Inferring Boolean FunctionsDaiji Fukagawa, Tatsuya Akutsu. 114-127 [doi]
- Performance Evaluation of Decision Tree Graph-Based InductionWarodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio. 128-140 [doi]
- Discovering Ecosystem Models from Time-Series DataDileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo. 141-152 [doi]
- An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic AlgorithmXiaoshu Hang, Honghua Dai. 153-165 [doi]
- Extraction of Coverings as Monotone DNF FormulasKouichi Hirata, Ryosuke Nagazumi, Masateru Harao. 166-179 [doi]
- What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?Takashi Inui, Kentaro Inui, Yuji Matsumoto. 180-193 [doi]
- Clustering OrdersToshihiro Kamishima, Jun Fujiki. 194-207 [doi]
- Business Application for Sales Transaction Data by Using Genome Analysis TechnologyNaoki Katoh, Katsutoshi Yada, Yukinobu Hamuro. 208-219 [doi]
- Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant CandidatesJérôme Maloberti, Einoshin Suzuki. 220-232 [doi]
- Chaining PatternsTaneli Mielikäinen. 233-244 [doi]
- An Algorithm for Discovery of New Families of Optimal Regular NetworksO. G. Monakhov, Emilia A. Monakhova. 245-255 [doi]
- Enumerating Maximal Frequent Sets Using Irredundant DualizationKen Satoh, Takeaki Uno. 256-268 [doi]
- Discovering Exceptional Information from Customer Inquiry by Association Rule MinerKeiko Shimazu, Atsuhito Momma, Koichi Furukawa. 269-282 [doi]
- Automatic Classification for the Identification of Relationships in a Meta-Data RepositoryGerd Beuster, Ulrich Furbach, Margret Groß-Hardt, Bernd Thomas. 283-290 [doi]
- Effects of Unreliable Group Profiling by Means of Data MiningBart Custers. 291-296 [doi]
- Using Constraints in Discovering DynamicsSaso Dzeroski, Ljupco Todorovski, Peter Ljubic. 297-305 [doi]
- SA-Optimized Multiple View Smooth Polyhedron Representation NNMohamad Ivan Fanany, Itsuo Kumazawa. 306-310 [doi]
- Elements of an Agile Discovery EnvironmentPeter A. Grigoriev, Serhiy A. Yevtushenko. 311-319 [doi]
- Discovery of User Preference in Personalized Design Recommender System through Combining Collaborative Filtering and Content Based FilteringKyung-Yong Jung, Jason J. Jung, Jung-Hyun Lee. 320-327 [doi]
- Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity ReconstructionZhongbao Kou, Ban Tao, Changshui Zhang. 328-335 [doi]
- A Genetic Algorithm for Inferring Pseudoknotted RNA Structures from Sequence DataDongkyu Lee, Kyungsook Han. 336-343 [doi]
- Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree AlgorithmSanghoon Lee, Jihoon Yang, Kyung-Whan Oh. 344-351 [doi]
- Mining RNA Structure Elements from the Structure Data of Protein-RNA ComplexesDaeho Lim, Kyungsook Han. 352-359 [doi]
- Discovery of Cellular Automata Rules Using CasesKen-ichi Maeda, Chiaki Sakama. 360-368 [doi]
- Discovery of Web Communities from Positive and Negative ExamplesTsuyoshi Murata. 369-376 [doi]
- Association Rules and Dempster-Shafer Theory of EvidenceTetsuya Murai, Yasuo Kudo, Yoshiharu Sato. 377-384 [doi]
- Subgroup Discovery among Personal HomepagesToyohisa Nakada, Susumu Kunifuji. 385-392 [doi]
- Collaborative Filtering Using Projective Restoration OperatorsAtsuyoshi Nakamura, Mineichi Kudo, Akira Tanaka, Kazuhiko Tanabe. 393-401 [doi]
- Discovering Homographs Using N-Partite Graph ClusteringHidekazu Nakawatase, Akiko N. Aizawa. 402-409 [doi]
- Discovery of Trends and States in Irregular Medical Temporal DataTrong Dung Nguyen, Saori Kawasaki, Tu Bao Ho. 410-417 [doi]
- Creating Abstract Concepts for Classification by Finding Top- N Maximal Weighted CliquesYoshiaki Okubo, Makoto Haraguchi. 418-425 [doi]
- Content-Based Scene Change Detection of Video Sequence Using Hierarchical Hidden Markov ModelJong Hyun Park, Soon-Young Park, Seong-Jun Kang, Wan Hyun Cho. 426-433 [doi]
- An Appraisal of UNIVAUTO? The First Discovery Program to Generate a Scientific ArticleVladimir Pericliev. 434-441 [doi]
- Scilog: A Language for Scientific Processes and ScalesJoseph Phillips. 442-451 [doi]
- Mining Multiple Clustering Data for Knowledge DiscoveryThanh Tho Quan, Siu Cheung Hui, Alvis Cheuk M. Fong. 452-459 [doi]
- Bacterium Lingualis? The Web-Based Commonsensical Knowledge Discovery MethodRafal Rzepka, Kenji Araki, Koji Tochinai. 460-467 [doi]
- Inducing Biological Models from Temporal Gene Expression DataKazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager. 468-469 [doi]
- Knowledge Discovery on Chemical Reactivity from Experimental Reaction InformationHiroko Satoh, Tadashi Nakata. 470-477 [doi]
- A Method of Extracting Related Words Using Standardized Mutual InformationTomohiko Sugimachi, Akira Ishino, Masayuki Takeda, Fumihiro Matsuo. 478-485 [doi]
- Discovering Most Classificatory Patterns for Very Expressive Pattern ClassesMasayuki Takeda, Shunsuke Inenaga, Hideo Bannai, Ayumi Shinohara, Setsuo Arikawa. 486-493 [doi]
- Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and SuperpatternsYukiko Yoshida, Yuiko Ohta, Kenichi Kobayashi, Nobuhiro Yugami. 494-501 [doi]