Discovery Science 8th International Conference, DS 2005, Singapore, October 8 – 11, 2005. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Hoffmann, Achim (Επιμελητής έκδοσης), Motoda, Hiroshi (Επιμελητής έκδοσης), Scheffer, Tobias (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Lecture Notes in Computer Science, 3735
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Invited Papers
  • Invention and Artificial Intelligence
  • Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources
  • Training Support Vector Machines via SMO-Type Decomposition Methods
  • The Robot Scientist Project
  • The Arrowsmith Project: 2005 Status Report
  • Regular Contributions - Long Papers
  • Practical Algorithms for Pattern Based Linear Regression
  • Named Entity Recognition for the Indonesian Language: Combining Contextual, Morphological and Part-of-Speech Features into a Knowledge Engineering Approach
  • Bias Management of Bayesian Network Classifiers
  • A Bare Bones Approach to Literature-Based Discovery: An Analysis of the Raynaud’s/Fish-Oil and Migraine-Magnesium Discoveries in Semantic Space
  • Assisting Scientific Discovery with an Adaptive Problem Solver
  • Cross-Language Mining for Acronyms and Their Completions from the Web
  • Mining Frequent ?-Free Patterns in Large Databases
  • An Experiment with Association Rules and Classification: Post-Bagging and Conviction
  • Movement Analysis of Medaka (Oryzias Latipes) for an Insecticide Using Decision Tree
  • Support Vector Inductive Logic Programming
  • Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences
  • The q-Gram Distance for Ordered Unlabeled Trees
  • Monotone Classification by Function Decomposition
  • Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces
  • An Algorithm for Mining Implicit Itemset Pairs Based on Differences of Correlations
  • Pattern Classification via Single Spheres
  • SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos
  • Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain
  • Massive Biomedical Term Discovery
  • Active Constrained Clustering by Examining Spectral Eigenvectors
  • Learning Ontology-Aware Classifiers
  • Regular Contributions - Regular Papers
  • Automatic Extraction of Proteins and Their Interactions from Biological Text
  • A Data Analysis Approach for Evaluating the Behavior of Interestingness Measures
  • Unit Volume Based Distributed Clustering Using Probabilistic Mixture Model
  • Finding Significant Web Pages with Lower Ranks by Pseudo-Clique Search
  • CLASSIC’CL: An Integrated ILP System
  • Detecting and Revising Misclassifications Using ILP
  • Project Reports
  • Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment Plants
  • A Semantic Enrichment of Data Tables Applied to Food Risk Assessment
  • Knowledge Discovery Through Composited Visualization, Navigation and Retrieval
  • A Tabu Clustering Method with DHB Operation and Mergence and Partition Operation
  • Discovering User Preferences by Using Time Entries in Click-Through Data to Improve Search Engine Results
  • Network Boosting for BCI Applications
  • Rule-Based FCM: A Relational Mapping Model
  • Effective Classifier Pruning with Rule Information
  • Text Mining for Clinical Chinese Herbal Medical Knowledge Discovery.