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Titlebook: Discovery Science; Third International Setsuo Arikawa,Shinichi Morishita Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 200

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发表于 2025-3-21 18:31:35 | 显示全部楼层 |阅读模式
书目名称Discovery Science
副标题Third International
编辑Setsuo Arikawa,Shinichi Morishita
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Discovery Science; Third International  Setsuo Arikawa,Shinichi Morishita Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 200
描述This volume contains 3 invited papers, 15 regular papers, and 22 poster papers that were selected for presentation at the Third International Conference on Discovery Science (DS 2000), which was held 4-6 December 2000 in Kyoto. The Program Committee selected the contributed papers from 48 submissions. Three distinguished researchers accepted our invitation to present talks: J- frey D. Ullman (Stanford University), Joseph Y. Halpern (Cornell University), and Masami Hagiya (University of Tokyo). The Program Committee would like to thank all those who submitted papers for consideration and the invited speakers. I would like to thank the Program Committee members, the Local Arrangements Committee members, and the Steering Committee members for their splendid and hard work. Finally, special thanks go to the PC Assistant Shoko Suzuki for her assistance in the development of web pages and the preparation of these proceedings. September 2000 Shinichi Morishita Organization Discovery Science 2000 is organized as part of the activities of the Discovery Science Project sponsored by Grant-in-Aid for Scienti?c Research in the Priority Area from the Ministry of Education, Science, Sports and Cul
出版日期Conference proceedings 2000
关键词algorithms; data mining; database; learning; logic; programming; science; visualization
版次1
doihttps://doi.org/10.1007/3-540-44418-1
isbn_softcover978-3-540-41352-3
isbn_ebook978-3-540-44418-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2000
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发表于 2025-3-21 23:30:29 | 显示全部楼层
Alice Wong Ph. D.,Gino Cortopassi Ph. D.wn to be NP-complete.We generalize the problem to an optimization problem, and give a practical algorithm to solve it exactly. Our algorithm uses pruning heuristic and subsequence automata, and can find the best subsequence. We show some experiments, that convinced us the approach is quite promising.
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https://doi.org/10.1007/3-540-44418-1algorithms; data mining; database; learning; logic; programming; science; visualization
发表于 2025-3-22 09:19:35 | 显示全部楼层
978-3-540-41352-3Springer-Verlag Berlin Heidelberg 2000
发表于 2025-3-22 14:50:18 | 显示全部楼层
A Practical Algorithm to Find the Best Subsequence Patternswn to be NP-complete.We generalize the problem to an optimization problem, and give a practical algorithm to solve it exactly. Our algorithm uses pruning heuristic and subsequence automata, and can find the best subsequence. We show some experiments, that convinced us the approach is quite promising.
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Prologue: The Medieval Atlantic Oceanhased at the same time. The problem is to find pairs, or perhaps larger sets, of items that frequently appear together in baskets. We mention the principal approaches to efficient, large-scale discovery of the frequent itemsets, including the a-priori algorithm, improvements using hashing, and one-
发表于 2025-3-23 03:24:07 | 显示全部楼层
Probability Concepts in Quantum Mechanicsinformation (such as “80have hepatitis”), and default information (such as “patients with pneumonia typically have fever”). The doctor may want to make decisions regarding a particular patient, using the KB in some principled way. To do this, it is often useful for the doctor to assign a numerical “
发表于 2025-3-23 08:21:45 | 显示全部楼层
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