Discovery Science (eBook, PDF)

16th International Conference, DS 2013, Singapore, October 6-9, 2013, Proceedings
Redaktion: Fürnkranz, Johannes; Higuchi, Tomoyuki; Hüllermeier, Eyke

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 357
• Erscheinungstermin: 30. September 2013
• Englisch
• ISBN-13: 9783642408977
• Artikelnr.: 44219195

Autorenporträt

Prof. Dr. Johannes Fürnkranz is a professor of knowledge engineering at the Technische Universität Darmstadt. He has chaired and served on the boards of the main journals and conferences in this field. His research interests include inductive rule learning, preference learning, game playing, web mining, and data mining in social science.

Inhaltsangabe

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.