Discovery Science 16th International Conference, DS 2013, Singapore, October 6-9, 2013. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Fürnkranz, Johannes (Επιμελητής έκδοσης), Hüllermeier, Eyke (Επιμελητής έκδοσης), Higuchi, Tomoyuki (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Lecture Notes in Computer Science, 8140
• Θέματα: Computer science.; Algorithms.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Database Management.; Data Mining and Knowledge Discovery.; Algorithm Analysis and Problem Complexity.

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 s...

Πίνακας περιεχομένων:

• 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.