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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Gama, João (Επιμελητής έκδοσης), Costa, Vítor Santos (Επιμελητής έκδοσης), Jorge, Alípio Mário (Επιμελητής έκδοσης), Brazdil, Pavel B. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Σειρά: Lecture Notes in Computer Science, 5808
• Θέματα: Computer science.; Computer communication systems.; Data mining.; Information storage and retrieval.; User interfaces (Computer systems).; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computer Communication Networks.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; User Interfaces and Human Computer Interaction.

Πίνακας περιεχομένων:

• 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.