Discovery Science 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Gama, João (Editor ), Santos Costa, Vitor (Editor ), Jorge, Alipio (Editor ), Brazdil, Pavel (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Lecture Notes in Artificial Intelligence, 5808
Temas:
Artificial intelligence.
Computer networks .
Data mining.
Information storage and retrieval systems.
Application software.
User interfaces (Computer systems).
Human-computer interaction.
Artificial Intelligence.
Computer Communication Networks.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer and Information Systems Applications.
User Interfaces and Human Computer Interaction.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Inference and Learning in Planning (Extended Abstract)
  • Mining Heterogeneous Information Networks by Exploring the Power of Links
  • Learning on the Web
  • Learning and Domain Adaptation
  • The Two Faces of Active Learning
  • An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
  • Detecting New Kinds of Patient Safety Incidents
  • Using Data Mining for Wine Quality Assessment
  • MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
  • On the Complexity of Constraint-Based Theory Extraction
  • Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool
  • Regression Trees from Data Streams with Drift Detection
  • Mining Frequent Bipartite Episode from Event Sequences
  • CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks
  • Learning Large Margin First Order Decision Lists for Multi-Class Classification
  • Centrality Measures from Complex Networks in Active Learning
  • Player Modeling for Intelligent Difficulty Adjustment
  • Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images
  • Discovering the Structures of Open Source Programs from Their Developer Mailing Lists
  • A Comparison of Community Detection Algorithms on Artificial Networks
  • Towards an Ontology of Data Mining Investigations
  • OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers
  • C-DenStream: Using Domain Knowledge on a Data Stream
  • Discovering Influential Nodes for SIS Models in Social Networks
  • An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules
  • Precision and Recall for Regression
  • Mining Local Correlation Patterns in Sets of Sequences
  • Subspace Discovery for Promotion: A Cell Clustering Approach
  • Contrasting Sequence Groups by Emerging Sequences
  • A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
  • A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks
  • Linear Programming Boosting by Column and Row Generation
  • Discovering Abstract Concepts to Aid Cross-Map Transfer for a Learning Agent
  • A Dialectic Approach to Problem-Solving
  • Gene Functional Annotation with Dynamic Hierarchical Classification Guided by Orthologs
  • Stream Clustering of Growing Objects
  • Finding the k-Most Abnormal Subgraphs from a Single Graph
  • Latent Topic Extraction from Relational Table for Record Matching
  • Computing a Comprehensible Model for Spam Filtering
  • Better Decomposition Heuristics for the Maximum-Weight Connected Graph Problem Using Betweenness Centrality.

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