
Discovery Science
16th International Conference, DS 2013, Singapore, October 6-9, 2013, Proceedings
Springer (Publisher)
Published on 13. September 2013
Book
Paperback/Softback
XVIII, 357 pages
978-3-642-40896-0 (ISBN)
Description
This book constitutes the proceedings of the 16th International Conference on Discovery Science, DS 2013, held in Singapore in October 2013, and co-located with the International Conference on Algorithmic Learning Theory, ALT 2013. The 23 papers presented in this volume were carefully reviewed and selected from 52 submissions. They cover recent advances in the development and analysis of methods of automatic scientific knowledge discovery, machine learning, intelligent data analysis, and their application to knowledge discovery.
More details
Series
Edition
2013 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
104 s/w Abbildungen
XVIII, 357 p. 104 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 21 mm
Weight
569 gr
ISBN-13
978-3-642-40896-0 (9783642408960)
DOI
10.1007/978-3-642-40897-7
Schweitzer Classification
Other editions
Additional editions

Johannes Fürnkranz | Eyke Hüllermeier | Tomoyuki Higuchi
Discovery Science
16th International Conference, DS 2013, Singapore, October 6-9, 2013, Proceedings
E-Book
09/2013
Springer
€53.49
Available for download
Content
Mixture Models from Multiresolution 0-1 Data.- Model Tree Ensembles for Modeling Dynamic Systems.- Fast and Scalable Image Retrieval Using Predictive Clustering Trees.- Avoiding Anomalies in Data Stream Learning.- Generalizing from Example Clusters.- Clustering Based Active Learning for Evolving Data Streams.- Robust Crowd Labeling Using Little Expertise.- A New Approach to String Pattern Mining with Approximate Match.- OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process.- A Wordification Approach to Relational Data Mining.- Multi-interval Discretization of Continuous Attributes for Label Ranking.- Identifying Super-Mediators of Information Diffusion in Social Networks.- SM2D: A Modular Knowledge Discovery Approach Applied to Hydrological Forecasting.- A Dynamic Programming Algorithm for Learning Chain Event Graphs.- Mining Interesting Patterns in Multi-relational Data with N-ary Relationships.- Learning Hierarchical Multi-label Classification Trees from Network Data.- A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications.- Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis.- Fast Compression of Large-Scale Hypergraphs for Solving Combinatorial Problems.- Semantic Data Mining of Financial News Articles.- Polynomial Delay and Space Discovery of Connected and Acyclic Sub-hypergraphs in a Hypergraph.- Hyperlink Prediction in Hypernetworks Using Latent Social Features.- Extracting Opinionated (Sub)Features from a Stream of Product Reviews.