Discovery Science : 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings / edited by Nada Lavrač, Ljupco Todorovski, Klaus P. Jantke.

Format:

Book

Contributor:

Lavrač, Nada, Editor.

Todorovski, Ljupco., Editor.

Jantke, K. P. (Klaus P.), Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 4265

Lecture Notes in Artificial Intelligence, 2945-9141 ; 4265

Language:

English

Subjects (All):

Science-Philosophy.

Artificial intelligence.

Database management.

Information storage and retrieval systems.

Information technology-Management.

Social sciences-Data processing.

Philosophy of Science.

Artificial Intelligence.

Database Management.

Information Storage and Retrieval.

Computer Application in Administrative Data Processing.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Philosophy of Science.

Artificial Intelligence.

Database Management.

Information Storage and Retrieval.

Computer Application in Administrative Data Processing.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (XIV, 386 pages)

Edition:

1st edition 2006.

Contained In:

Springer Nature eBook

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Summary:

The 9th International Conference on Discovery Science (DS 2006) was held in Barcelona, Spain, on 7-10 October 2006. The conference was collocated with the 17th International Conference on Algorithmic Learning Theory (ALT 2006). The two conferences shared the invited talks. This LNAI volume, containing the proceedings of the 9th International C- ference onDiscoveryScience, is structured in three parts. The ?rstpart contains the papers/abstracts of the invited talks, the second part contains the accepted long papers, and the third part the accepted regular (short) papers. Out of 87 submitted papers, 23 were accepted for publication as long papers, and 18 as regular papers. All the submitted papers were reviewed by two or three ref- ees. In addition to the presentations of accepted papers, the DS 2006 conference program consisted of three invited talks, two tutorials, the collocated ALT 2006 conference and the Pascal Dialogues workshop. We wish to express our gratitude to - the authors of submitted papers, - the program committee and other referees for their thorough and timely paper evaluation, - DS 2006 invited speakers Carole Goble and Padhraic Smyth, as well as - drew Ng as joint DS 2006 and ALT 2006 invited speaker, - invited tutorial speakers Luis Torgo and Michael May, - the local organization committee chaired by Ricard Gavalda, ` - DS 2006 conference chair Klaus P.

Contents:

Invited Papers

e-Science and the Semantic Web: A Symbiotic Relationship

Data-Driven Discovery Using Probabilistic Hidden Variable Models

Reinforcement Learning and Apprenticeship Learning for Robotic Control

The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods

Spectral Norm in Learning Theory: Some Selected Topics

Long Papers

Classification of Changing Regions Based on Temporal Context in Local Spatial Association

Kalman Filters and Adaptive Windows for Learning in Data Streams

Scientific Discovery: A View from the Trenches

Optimal Bayesian 2D-Discretization for Variable Ranking in Regression

Text Data Clustering by Contextual Graphs

Automatic Water Eddy Detection in SST Maps Using Random Ellipse Fitting and Vectorial Fields for Image Segmentation

Mining Approximate Motifs in Time Series

Identifying Historical Period and Ethnic Origin of Documents Using Stylistic Feature Sets

A New Family of String Classifiers Based on Local Relatedness

On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets

Mining Sectorial Episodes from Event Sequences

A Voronoi Diagram Approach to Autonomous Clustering

Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations

Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data

Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases

Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts

Analysis of Linux Evolution Using Aligned Source Code Segments

Rule-Based Prediction of Rare Extreme Values

A Pragmatic Logic of Scientific Discovery

Change Detection with Kalman Filter and CUSUM

Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification

A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms

Model-Based Estimation of Word Saliency in Text

Regular Papers

Learning Bayesian Network Equivalence Classes from Incomplete Data

Interesting Patterns Extraction Using Prior Knowledge

Visual Interactive Subgroup Discovery with Numerical Properties of Interest

Contextual Ontological Concepts Extraction

Experiences from a Socio-economic Application of Induction Trees

Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA)

Symmetric Item Set Mining Based on Zero-Suppressed BDDs

Mathematical Models of Category-Based Induction

Automatic Construction of Static Evaluation Functions for Computer Game Players

Databases Reduction Simultaneously by Ordered Projection

Mapping Ontologies in an Air Pollution Monitoring and Control Agent-Based System

Information Theory and Classification Error in Probabilistic Classifiers

Checking Scientific Assumptions by Modeling

Incremental Algorithm Driven by Error Margins

Feature Construction and ?-Free Sets in 0/1 Samples

Visual Knowledge Discovery in Paleoclimatology with Parallel Coordinates

A Novel Framework for Discovering Robust Cluster Results

Gene Selection for Classifying Microarray Data Using Grey Relation Analysis.

Other Format:

Printed edition:

ISBN:

978-3-540-46493-8

9783540464938

Access Restriction:

Restricted for use by site license.