Discovery Science
8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings
Published on 28. September 2005
Book
Paperback/Softback
XVI, 404 pages
978-3-540-29230-2 (ISBN)
Description
This volume contains the papers presented at the 8th International Conference onDiscoveryScience(DS2005)heldinSingapore,RepublicofSingapore,during the days from 8-11 of October 2005. The main objective of the Discovery Science (DS) conference series is to p- vide an open forum for intensive discussions and the exchange of new ideas and information among researchers working in the area of automating scienti?c d- covery or working on tools for supporting the human process of discovery in science. It has been a successful arrangement in the past to co-locate the DS conference with the International Conference on Algorithmic Learning Theory (ALT). This combination of ALT and DS allows for a comprehensive treatment ofthewholerange,fromtheoreticalinvestigationstopracticalapplications.C- tinuing in this tradition, DS 2005 was co-located with the 16th ALT conference (ALT2005).TheproceedingsofALT 2005werepublished asa twinvolume3734 of the LNCS series. TheInternationalSteeringCommitteeoftheDiscoveryScienceconference- ries providedimportantadviceon a number ofissues during the planning of D- coveryScience2005.ThemembersoftheSteeringCommiteeareHiroshiMotoda, (Osaka University), Alberto Apostolico (Purdue University), Setsuo Arikawa (Kyushu University), Achim Ho?
mann (University of New South Wales), Klaus P. Jantke (DFKI and FIT Leipzig, Germany), Massimo Melucci (U- versityofPadua),Masahiko Sato(Kyoto University),Ayumi Shinohara(Tohoku University),EinoshinSuzuki(YokohamaNationalUniversity),andThomasZe- mann (Hokkaido University). We received 112 full paper submissions out of which 21 long papers (up to 15 pages), 7 regular papers (up to 9 pages), and 9 project reports (3 pages) were acceptedforpresentationandarepublished inthis volume.Eachsubmissionwas reviewed by at least two members of the Program Committee of international expertsinthe?eld.Theselectionwasmadeaftercarefulevaluationofeachpaper based on originality, technical quality, relevance to the ?eld of discovery science, and clarity.
mann (University of New South Wales), Klaus P. Jantke (DFKI and FIT Leipzig, Germany), Massimo Melucci (U- versityofPadua),Masahiko Sato(Kyoto University),Ayumi Shinohara(Tohoku University),EinoshinSuzuki(YokohamaNationalUniversity),andThomasZe- mann (Hokkaido University). We received 112 full paper submissions out of which 21 long papers (up to 15 pages), 7 regular papers (up to 9 pages), and 9 project reports (3 pages) were acceptedforpresentationandarepublished inthis volume.Eachsubmissionwas reviewed by at least two members of the Program Committee of international expertsinthe?eld.Theselectionwasmadeaftercarefulevaluationofeachpaper based on originality, technical quality, relevance to the ?eld of discovery science, and clarity.
More details
Series
Edition
2005 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XVI, 404 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 23 mm
Weight
639 gr
ISBN-13
978-3-540-29230-2 (9783540292302)
DOI
10.1007/11563983
Schweitzer Classification
Content
Invited Papers.- Invention and Artificial Intelligence.- Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources.- Training Support Vector Machines via SMO-Type Decomposition Methods.- The Robot Scientist Project.- The Arrowsmith Project: 2005 Status Report.- Regular Contributions - Long Papers.- Practical Algorithms for Pattern Based Linear Regression.- Named Entity Recognition for the Indonesian Language: Combining Contextual, Morphological and Part-of-Speech Features into a Knowledge Engineering Approach.- Bias Management of Bayesian Network Classifiers.- A Bare Bones Approach to Literature-Based Discovery: An Analysis of the Raynaud's/Fish-Oil and Migraine-Magnesium Discoveries in Semantic Space.- Assisting Scientific Discovery with an Adaptive Problem Solver.- Cross-Language Mining for Acronyms and Their Completions from the Web.- Mining Frequent ?-Free Patterns in Large Databases.- An Experiment with Association Rules and Classification: Post-Bagging and Conviction.- Movement Analysis of Medaka (Oryzias Latipes) for an Insecticide Using Decision Tree.- Support Vector Inductive Logic Programming.- Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences.- The q-Gram Distance for Ordered Unlabeled Trees.- Monotone Classification by Function Decomposition.- Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces.- An Algorithm for Mining Implicit Itemset Pairs Based on Differences of Correlations.- Pattern Classification via Single Spheres.- SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos.- Exploring Predicate-Argument Relations for Named Entity Recognition in the MolecularBiology Domain.- Massive Biomedical Term Discovery.- Active Constrained Clustering by Examining Spectral Eigenvectors.- Learning Ontology-Aware Classifiers.- Regular Contributions - Regular Papers.- Automatic Extraction of Proteins and Their Interactions from Biological Text.- A Data Analysis Approach for Evaluating the Behavior of Interestingness Measures.- Unit Volume Based Distributed Clustering Using Probabilistic Mixture Model.- Finding Significant Web Pages with Lower Ranks by Pseudo-Clique Search.- CLASSIC'CL: An Integrated ILP System.- Detecting and Revising Misclassifications Using ILP.- Project Reports.- Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment Plants.- A Semantic Enrichment of Data Tables Applied to Food Risk Assessment.- Knowledge Discovery Through Composited Visualization, Navigation and Retrieval.- A Tabu Clustering Method with DHB Operation and Mergence and Partition Operation.- Discovering User Preferences by Using Time Entries in Click-Through Data to Improve Search Engine Results.- Network Boosting for BCI Applications.- Rule-Based FCM: A Relational Mapping Model.- Effective Classifier Pruning with Rule Information.- Text Mining for Clinical Chinese Herbal Medical Knowledge Discovery.