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Discovery science: 12th international conference, DS 2009

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Contents:

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: multiole-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 stream with drift detection
Mining frequent bipartite episode from event sequences
CHRONICLE: A two-state density-based clustering algorithm for dynamic network
Learning large margin first order decision lists for multi-class classification
Centrality measures from complex networks in active learning
Player modeling fot intelligen difficulty adjustment
Unsupervised fuzzy clustering for the segmentation and annotation of upwelling regions in sea surface temperature images
Discovering the structures of open source program from their developer mailing lists
A comparison of community detection algorithms on artificial networks
Towards an antology of data mining investigations
OMFP: an approach for online mass flow prediction 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 pattens 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 stream
A hybrid collaborative filtering syste 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 relation 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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Availability

Detail Information

Series Title

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Call Number

602 GAM D

Publisher

New York : Springer., 2009

Collation

xiii, 474 hlm.; ilus.; 23 cm

Language

English

ISBN/ISSN

9783642047466

Classification

602

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

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Specific Detail Info

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Statement of Responsibility

Joao Gama, et al.

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