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ORCID6th DS 2003: Sapporo, Japan
- Gunter Grieser, Yuzuru Tanaka, Akihiro Yamamoto:
Discovery Science, 6th International Conference, DS 2003, Sapporo, Japan, October 17-19,2003, Proceedings. Lecture Notes in Computer Science 2843, Springer 2003, ISBN 3-540-20293-5 - Thomas Eiter, Kazuhisa Makino:
Abduction and the Dualization Problem. 1-20 - Genshiro Kitagawa:
Signal Extraction and Knowledge Discovery Based on Statistical Modeling. 21-32 - Akihiko Takano:
Association Computation for Information Access. 33-44 - Naftali Tishby:
Efficient Data Representations That Preserve Information. 45 - Thomas Zeugmann:
Can Learning in the Limit Be Done Efficiently? 46 - Tatsuya Asai, Hiroki Arimura
, Takeaki Uno, Shin-Ichi Nakano:
Discovering Frequent Substructures in Large Unordered Trees. 47-61 - Karine Chevalier, Cécile Bothorel, Vincent Corruble:
Discovering Rich Navigation Patterns on a Web Site. 62-75 - Tien Dung Do, Siu Cheung Hui, Alvis Cheuk M. Fong:
Mining Frequent Itemsets with Category-Based Constraints. 76-86 - Saso Dzeroski, Ljupco Todorovski, Boris Zmazek, Janja Vaupotic, Ivan Kobal:
Modelling Soil Radon Concentration for Earthquake Prediction. 87-99 - Alistair Fletcher, John Davis:
Dialectical Evidence Assembly for Discovery. 100-113 - Daiji Fukagawa, Tatsuya Akutsu:
Performance Analysis of a Greedy Algorithm for Inferring Boolean Functions. 114-127 - Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio:
Performance Evaluation of Decision Tree Graph-Based Induction. 128-140 - Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo:
Discovering Ecosystem Models from Time-Series Data. 141-152 - Xiaoshu Hang, Honghua Dai:
An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm. 153-165 - Kouichi Hirata, Ryosuke Nagazumi, Masateru Harao:
Extraction of Coverings as Monotone DNF Formulas. 166-179 - Takashi Inui, Kentaro Inui, Yuji Matsumoto:
What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues? 180-193 - Toshihiro Kamishima, Jun Fujiki:
Clustering Orders. 194-207 - Naoki Katoh, Katsutoshi Yada, Yukinobu Hamuro:
Business Application for Sales Transaction Data by Using Genome Analysis Technology. 208-219 - Jérôme Maloberti, Einoshin Suzuki:
Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates. 220-232 - Taneli Mielikäinen:
Chaining Patterns. 233-244 - Oleg G. Monakhov, Emilia A. Monakhova:
An Algorithm for Discovery of New Families of Optimal Regular Networks. 245-255 - Ken Satoh, Takeaki Uno:
Enumerating Maximal Frequent Sets Using Irredundant Dualization. 256-268 - Keiko Shimazu, Atsuhito Momma, Koichi Furukawa:
Discovering Exceptional Information from Customer Inquiry by Association Rule Miner. 269-282 - Gerd Beuster, Ulrich Furbach, Margret Groß-Hardt, Bernd Thomas:
Automatic Classification for the Identification of Relationships in a Meta-Data Repository. 283-290 - Bart Custers:
Effects of Unreliable Group Profiling by Means of Data Mining. 291-296 - Saso Dzeroski, Ljupco Todorovski, Peter Ljubic:
Using Constraints in Discovering Dynamics. 297-305 - Mohamad Ivan Fanany, Itsuo Kumazawa:
SA-Optimized Multiple View Smooth Polyhedron Representation NN. 306-310 - Peter A. Grigoriev, Serhiy A. Yevtushenko:
Elements of an Agile Discovery Environment. 311-319 - Kyung-Yong Jung, Jason J. Jung, Jung-Hyun Lee:
Discovery of User Preference in Personalized Design Recommender System through Combining Collaborative Filtering and Content Based Filtering. 320-327 - Zhongbao Kou, Ban Tao, Changshui Zhang:
Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction. 328-335 - Dongkyu Lee, Kyungsook Han:
A Genetic Algorithm for Inferring Pseudoknotted RNA Structures from Sequence Data. 336-343 - Sanghoon Lee, Jihoon Yang, Kyung-Whan Oh:
Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm. 344-351 - Daeho Lim, Kyungsook Han:
Mining RNA Structure Elements from the Structure Data of Protein-RNA Complexes. 352-359 - Ken-ichi Maeda, Chiaki Sakama:
Discovery of Cellular Automata Rules Using Cases. 360-368 - Tsuyoshi Murata:
Discovery of Web Communities from Positive and Negative Examples. 369-376 - Tetsuya Murai, Yasuo Kudo, Yoshiharu Sato:
Association Rules and Dempster-Shafer Theory of Evidence. 377-384 - Toyohisa Nakada, Susumu Kunifuji:
Subgroup Discovery among Personal Homepages. 385-392 - Atsuyoshi Nakamura, Mineichi Kudo, Akira Tanaka, Kazuhiko Tanabe:
Collaborative Filtering Using Projective Restoration Operators. 393-401 - Hidekazu Nakawatase, Akiko N. Aizawa:
Discovering Homographs Using N-Partite Graph Clustering. 402-409 - Trong Dung Nguyen, Saori Kawasaki, Tu Bao Ho:
Discovery of Trends and States in Irregular Medical Temporal Data. 410-417 - Yoshiaki Okubo, Makoto Haraguchi:
Creating Abstract Concepts for Classification by Finding Top- N Maximal Weighted Cliques. 418-425 - Jonghyun Park, Soon-Young Park, Seong-Jun Kang, Wan Hyun Cho:
Content-Based Scene Change Detection of Video Sequence Using Hierarchical Hidden Markov Model. 426-433 - Vladimir Pericliev:
An Appraisal of UNIVAUTO? The First Discovery Program to Generate a Scientific Article. 434-441 - Joseph Phillips:
Scilog: A Language for Scientific Processes and Scales. 442-451 - Thanh Tho Quan, Siu Cheung Hui, Alvis Cheuk M. Fong:
Mining Multiple Clustering Data for Knowledge Discovery. 452-459 - Rafal Rzepka, Kenji Araki, Koji Tochinai:
Bacterium Lingualis? The Web-Based Commonsensical Knowledge Discovery Method. 460-467 - Kazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager:
Inducing Biological Models from Temporal Gene Expression Data. 468-469 - Hiroko Satoh, Tadashi Nakata:
Knowledge Discovery on Chemical Reactivity from Experimental Reaction Information. 470-477 - Tomohiko Sugimachi, Akira Ishino, Masayuki Takeda, Fumihiro Matsuo:
A Method of Extracting Related Words Using Standardized Mutual Information. 478-485 - Masayuki Takeda, Shunsuke Inenaga, Hideo Bannai, Ayumi Shinohara, Setsuo Arikawa:
Discovering Most Classificatory Patterns for Very Expressive Pattern Classes. 486-493 - Yukiko Yoshida, Yuiko Ohta, Kenichi Kobayashi, Nobuhiro Yugami:
Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns. 494-501
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