Discovery Science

This book constitutes the refereed proceedings of the 10th International Conference on Discovery Science, DS 2007, held in Sendai, Japan, in October 2007, co-located with the 18th International Conference on Algorithmic Learning Theory, ALT 2007. The papers cover all issues in the area of development and analysis of methods for intelligent data analysis, knowledge discovery and machine learning, as well as their application to scientific knowledge discovery.

Inhalt

Invited Papers.- Challenge for Info-plosion.- Machine Learning in Ecosystem Informatics.- Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity.- A Theory of Similarity Functions for Learning and Clustering.- A Hilbert Space Embedding for Distributions.- Long Papers.- Time and Space Efficient Discovery of Maximal Geometric Graphs.- Iterative Reordering of Rules for Building Ensembles Without Relearning.- On Approximating Minimum Infrequent and Maximum Frequent Sets.- A Partially Dynamic Clustering Algorithm for Data Insertion and Removal.- Positivism Against Constructivism: A Network Game to Learn Epistemology.- Learning Locally Weighted C4.4 for Class Probability Estimation.- User Preference Modeling from Positive Contents for Personalized Recommendation.- Reducing Trials by Thinning-Out in Skill Discovery.- A Theoretical Study on Variable Ordering of Zero-Suppressed BDDs for Representing Frequent Itemsets.- Fast NML Computation for Naive Bayes Models.- Unsupervised Spam Detection Based on String Alienness Measures.- A Consequence Finding Approach for Full Clausal Abduction.- Literature-Based Discovery by an Enhanced Information Retrieval Model.- Discovering Mentorship Information from Author Collaboration Networks.- Active Contours as Knowledge Discovery Methods.- An Efficient Polynomial Delay Algorithm for Pseudo Frequent Itemset Mining.- Discovering Implicit Feedbacks from Search Engine Log Files.- Regular Papers.- Pharmacophore Knowledge Refinement Method in the Chemical Structure Space.- An Attempt to Rebuild C. Bernard's Scientific Steps.- Semantic Annotation of Data Tables Using a Domain Ontology.- Model Selection and Estimation Via Subjective User Preferences.- Detecting Concept Drift Using Statistical Testing.- Towards Future Technology Projection: A Method for Extracting Capability Phrases from Documents.- Efficient Incremental Mining of Top-K Frequent Closed Itemsets.- An Intentional Kernel Function for RNA Classification.- Mining Subtrees with Frequent Occurrence of Similar Subtrees.- Semantic Based Real-Time Clustering for PubMed Literatures.