Discovery Science

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