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130626 ||| eng |
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|a 9783642047473
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100 |
1 |
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|a Gama, João
|e [editor]
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245 |
0 |
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|a Discovery Science
|h Elektronische Ressource
|b 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009
|c edited by João Gama, Vitor Santos Costa, Alipio Jorge, Pavel Brazdil
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250 |
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|a 1st ed. 2009
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260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2009, 2009
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300 |
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|a XIII, 474 p
|b online resource
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0 |
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|a 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 --
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505 |
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|a 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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505 |
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|a 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 --
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653 |
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|a Computer Communication Networks
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653 |
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|a User interfaces (Computer systems)
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653 |
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|a Information Storage and Retrieval
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653 |
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|a Artificial Intelligence
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653 |
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|a Data mining
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653 |
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|a Application software
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653 |
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|a Information storage and retrieval systems
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653 |
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|a Computer networks
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653 |
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|a Artificial intelligence
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653 |
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|a Data Mining and Knowledge Discovery
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653 |
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|a Computer and Information Systems Applications
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653 |
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|a User Interfaces and Human Computer Interaction
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653 |
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|a Human-computer interaction
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700 |
1 |
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|a Santos Costa, Vitor
|e [editor]
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700 |
1 |
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|a Jorge, Alipio
|e [editor]
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700 |
1 |
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|a Brazdil, Pavel
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
0 |
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|a Lecture Notes in Artificial Intelligence
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028 |
5 |
0 |
|a 10.1007/978-3-642-04747-3
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856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-642-04747-3?nosfx=y
|x Verlag
|3 Volltext
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082 |
0 |
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|a 006.3
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