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1.

図書

図書
edited by Xindong Wu ... [et al.] ; sponsored by IEEE Computer Society
出版情報: Los Alamitos, Calif. : IEEE Computer Society Press, c1997  xi, 207 p. ; 28 cm
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2.

図書

図書
Xindong Wu, Ramamohanarao Kotagiri, Kevin B. Korb, (eds.)
出版情報: Berlin ; New York : Springer, c1998  xvi, 424 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1394 . Lecture notes in artificial intelligence
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3.

電子ブック

EB
Lakhmi Jain, Yannis Manolopoulos, Xindong Wu
出版情報: Springer eBooks Computer Science , Springer London, 2006
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4.

電子ブック

EB
Emilio Corchado, Bruno Baruque, ?lvaro Herrero, Takeo Kanade, Erkki Oja, Xindong Wu
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2009
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5.

電子ブック

EB
Lakhmi C. Jain, L. C. Jain, Nikhil R. Pal, Xindong Wu, Nikhil Pal
出版情報: Springer eBooks Computer Science , Springer London, 2005
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目次情報: 続きを見る
Preface
Trends in Data Mining and Knowledge Discovery / Chapter 1:
Advanced Methods for the Analysis of Semiconductor Manufacturing Process Data / Chapter 2:
Clustering and Visualization of Retail Market Baskets / Chapter 3:
Segmentation of Continuous Data Streams Based on a Change Detection Methodology / Chapter 4:
Instance Selection Using Evolutionary Algorithms: An Experimental Study / Chapter 5:
Using Cooperative Coevolution for Data Mining of Bayesian Networks / Chapter 6:
Knowledge Discovery and Data Mining in Medicine / Chapter 7:
Satellite Image Classification Using Cascaded Architecture of Neural Fuzzy Network / Chapter 8:
Discovery of Positive and Negative Rules from Medical Databases Based on Rough Sets / Chapter 9:
Index
Preface
Trends in Data Mining and Knowledge Discovery / Chapter 1:
Advanced Methods for the Analysis of Semiconductor Manufacturing Process Data / Chapter 2:
6.

電子ブック

EB
Michel Chein, Lakhmi Jain, Marie-Laure Mugnier, Xindong Wu
出版情報: Springer eBooks Computer Science , Springer London, 2009
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7.

電子ブック

EB
Lakhmi Jain, Simon J. Buckingham Shum, Alexandra Okada, Tony Sherborne, Xindong Wu
出版情報: Springer eBooks Computer Science , Springer London, 2008
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目次情報: 続きを見る
Preface
Contributors
Empirical Studies of the Value of Conceptually Explicit Notations in Collaborative Learning / Daniel D. Suthers1:
Concept Mapping Using CmapTools to Enhance Meaningful Learning / Alberto J. Canas ; Joseph D. Novak2:
Enhancing Collaborative and Meaningful Language Learning Through Concept Mapping / Rita de Cassia Veiga Marriott ; Patricia Lupion Torres3:
Thinking Maps: A Visual Language for Learning / David Hyerle4:
The Constructivist Mapping of Internet Information at Work with Nestor / Romain Zeiliger ; Liliane Esnault5:
Cognitive and Pedagogical Benefits of Argument Mapping: LAMP Guides the Way to Better Thinking / Yanna Rider ; Neil Thomason6:
Scaffolding School Pupils' Scientific Argumentation with Evidence-Based Dialogue Maps / Alexandra Okada7:
Argument Diagramming: The Araucaria Project / Glenn Rowe ; Chris Reed8:
Mapping the Curriculum: How Concept Maps can Improve the Effectiveness of Course Development / Tony Sherborne9:
Using Compendium as a Tool to Support the Design of Learning Activities / Grainne Conole10:
Performing Knowledge Art: Understanding Collaborative Cartography / Albert M. Selvin11:
Knowledge Cartography for Controversies: The Iraq Debate / Simon Buckingham Shum12:
Computer Supported Argument Visualisation: Modelling in Consultative Democracy Around Wicked Problems / Ricky Ohl13:
Human-Agent Knowledge Cartography for e-Science: NASA Field Trials at the Mars Desert Research Station / Maarten Sierhuis14:
Template-Based Structured Argumentation / John Lowrance ; Ian Harrison ; Andres Rodriguez ; Eric Yeh ; Tom Boyce ; Janet Murdock ; Jerome Thomere ; Ken Murray15:
An Experience of the Use of the Cognitive Mapping Method in Qualitative Research / Mario Vasconcellos16:
Collaborative Knowledge Modelling with a Graphical Knowledge Representation Tool: A Strategy to Support the Transfer of Expertise in Organisations / Josianne Basque ; Gilbert Paquette ; Beatrice Pudelko ; Michel Leonard17:
Author Biographies
Index
Preface
Contributors
Empirical Studies of the Value of Conceptually Explicit Notations in Collaborative Learning / Daniel D. Suthers1:
8.

電子ブック

EB
Francesco Camastra, Alessandro Vinciarelli, Xindong Wu
出版情報: Springer eBooks Computer Science , Springer London, 2008
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9.

電子ブック

EB
Andr?s Kornai, Andr?s Kornai, Xindong Wu
出版情報: Springer eBooks Computer Science , Springer London, 2008
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目次情報: 続きを見る
Preface
Introduction / 1:
The subject matter / 1.1:
Cumulative knowledge / 1.2:
Definitions / 1.3:
Formalization / 1.4:
Foundations / 1.5:
Mesoscopy / 1.6:
Further reading / 1.7:
The elements / 2:
Generation / 2.1:
Axioms, rules, and constraints / 2.2:
String rewriting / 2.3:
Phonology / 2.4:
Phonemes / 3.1:
Natural classes and distinctive features / 3.2:
Suprasegmentals and autosegments / 3.3:
Phonological computation / 3.4:
Morphology / 3.5:
The prosodic hierarchy / 4.1:
Syllables / 4.1.1:
Moras / 4.1.2:
Feet and cola / 4.1.3:
Words and stress typology / 4.1.4:
Word formation / 4.2:
Optimality / 4.3:
Zipf's law / 4.4:
Syntax / 4.5:
Combinatorical theories / 5.1:
Reducing vocabulary complexity / 5.1.1:
Categorial grammar / 5.1.2:
Phrase structure / 5.1.3:
Grammatical theories / 5.2:
Dependency / 5.2.1:
Linking / 5.2.2:
Valency / 5.2.3:
Semantics-driven theories / 5.3:
Weighted theories / 5.4:
Approximation / 5.4.1:
Zero density / 5.4.2:
Weighted rules / 5.4.3:
The regular domain / 5.5:
Weighted finite state automata / 5.5.1:
Hidden Markov models / 5.5.2:
External evidence / 5.6:
Semantics / 5.7:
The explanatory burden of semantics / 6.1:
The Liar / 6.1.1:
Opacity / 6.1.2:
The Berry paradox / 6.1.3:
Desiderata / 6.1.4:
The standard theory / 6.2:
Montague grammar / 6.2.1:
Truth values and variable binding term operators / 6.2.2:
Grammatical semantics / 6.3:
The system of types / 6.3.1:
Combining signs / 6.3.2:
Complexity / 6.4:
Information / 7.1:
Kolmogorov complexity / 7.2:
Learning / 7.3:
Minimum description length / 7.3.1:
Identification in the limit / 7.3.2:
Probable approximate correctness / 7.3.3:
Linguistic pattern recognition / 7.4:
Quantization / 8.1:
Markov processes, hidden Markov models / 8.2:
High-level signal processing / 8.3:
Document classification / 8.4:
Speech and handwriting / 8.5:
Low-level speech processing / 9.1:
Phonemes as hidden units / 9.2:
Handwriting and machine print / 9.3:
Simplicity / 9.4:
Previous reading / 10.1:
References
Index
Preface
Introduction / 1:
The subject matter / 1.1:
10.

電子ブック

EB
Dan A. Simovici, Chabane Djeraba, Lakhmi C. Jain, Xindong Wu
出版情報: Springer eBooks Computer Science , Springer London, 2008
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