Discovery Science 10th International Conference, DS 2007 Sendai, Japan, October 1-4, 2007. Proceedings /

This volume contains the papers presented at DS-2007:The Tenth International Conference on Discovery Science held in Sendai, Japan, October 1-4, 2007. The main objective of the Discovery Science (DS) conference series is to p- vide an open forum for intensive discussions and the exchange of new idea...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Corruble, Vincent (Editor ), Takeda, Masayuki (Editor ), Suzuki, Einoshin (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Lecture Notes in Artificial Intelligence, 4755
Temas:
Science-Philosophy.
Artificial intelligence.
Database management.
Information storage and retrieval systems.
Information technology-Management.
Social sciences-Data processing.
Philosophy of Science.
Artificial Intelligence.
Database Management.
Information Storage and Retrieval.
Computer Application in Administrative Data Processing.
Computer Application in Social and Behavioral Sciences.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Invited Papers
  • Challenge for Info-plosion
  • Machine Learning in Ecosystem Informatics
  • Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity
  • A Theory of Similarity Functions for Learning and Clustering
  • A Hilbert Space Embedding for Distributions
  • Long Papers
  • Time and Space Efficient Discovery of Maximal Geometric Graphs
  • Iterative Reordering of Rules for Building Ensembles Without Relearning
  • On Approximating Minimum Infrequent and Maximum Frequent Sets
  • A Partially Dynamic Clustering Algorithm for Data Insertion and Removal
  • Positivism Against Constructivism: A Network Game to Learn Epistemology
  • Learning Locally Weighted C4.4 for Class Probability Estimation
  • User Preference Modeling from Positive Contents for Personalized Recommendation
  • Reducing Trials by Thinning-Out in Skill Discovery
  • A Theoretical Study on Variable Ordering of Zero-Suppressed BDDs for Representing Frequent Itemsets
  • Fast NML Computation for Naive Bayes Models
  • Unsupervised Spam Detection Based on String Alienness Measures
  • A Consequence Finding Approach for Full Clausal Abduction
  • Literature-Based Discovery by an Enhanced Information Retrieval Model
  • Discovering Mentorship Information from Author Collaboration Networks
  • Active Contours as Knowledge Discovery Methods
  • An Efficient Polynomial Delay Algorithm for Pseudo Frequent Itemset Mining
  • Discovering Implicit Feedbacks from Search Engine Log Files
  • Regular Papers
  • Pharmacophore Knowledge Refinement Method in the Chemical Structure Space
  • An Attempt to Rebuild C. Bernard's Scientific Steps
  • Semantic Annotation of Data Tables Using a Domain Ontology
  • Model Selection and Estimation Via Subjective User Preferences
  • Detecting Concept Drift Using Statistical Testing
  • Towards Future Technology Projection: A Method for Extracting Capability Phrases from Documents
  • Efficient Incremental Mining of Top-K Frequent Closed Itemsets
  • An Intentional Kernel Function for RNA Classification
  • Mining Subtrees with Frequent Occurrence of Similar Subtrees
  • Semantic Based Real-Time Clustering for PubMed Literatures.

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