Discovery Science : 16th International Conference, DS 2013, Singapore, October 6-9, 2013, Proceedings / edited by Johannes Fürnkranz, Eyke Hüllermeier, Tomoyuki Higuchi.

Format:

Book

Contributor:

Fürnkranz, Johannes, editor.

Hüllermeier, Eyke, editor.

Higuchi, Tomoyuki, 1961- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 8140.

Lecture Notes in Artificial Intelligence ; 8140

Language:

English

Subjects (All):

Artificial intelligence.

Information storage and retrieval.

Application software.

Database management.

Data mining.

Algorithms.

Artificial Intelligence.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Database Management.

Data Mining and Knowledge Discovery.

Algorithm Analysis and Problem Complexity.

Local Subjects:

Artificial Intelligence.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Database Management.

Data Mining and Knowledge Discovery.

Algorithm Analysis and Problem Complexity.

Physical Description:

1 online resource (XVIII, 357 pages) : 104 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-642-40897-7

9783642408977

Access Restriction:

Restricted for use by site license.