Discovery Science 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015. Proceedings

Bilinear Prediction using Low Rank Models.- Finding Hidden Structure in Data with Tensor Decompositions.- Turning Prediction Tools Into Decision Tools.- Overcoming obstacles to the adoption of machine learning by domain Experts.- Resolution transfer in cancer classification based on amplification patterns.- Very Short-Term Wind Speed Forecasting using Spatio-Temporal Lazy Learning.- Discovery of Parameters for Animation of Midge Swarms.- No Sentiment is an Island: Author's activity and sentiments transactions in sentiment classification.- Active Learning for Classifying Template Matches in Historical Maps.- An evaluation of score descriptors combined with non-linear models of expressive dynamics in music.- Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of Environmental Data Analysis.- Generalized Shortest Path Kernel on Graphs.- Ensembles of extremely randomized trees for multi-target regression.- Clustering-Based Optimised Probabilistic Active Learning (COPAL).- Predictive Analysis on Tracking Emails for Targeted Marketing.- Semi-supervised Learning for Stream Recommender Systems.- Detecting Transmembrane Proteins Using Decision Trees.- Change point detection for information diffusion tree.- Multi-label Classification via Multi-target Regression on Data Streams.- Periodical Skeletonization for Partially Periodic Pattern Mining.- Predicting Drugs Adverse Side-Effects using a recommender-system.- Dr. Inventor Framework: extracting structured information from scientific publications.- Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel.- Hierarchical Multidimensional Classification of web documents with MultiWebClass.- Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets.- On the Feasibility of Discovering Meta-Patterns from a Data Ensemble.- An Algorithm for Influence Maximization in a Two-Terminal Series.- Parallel Graph and Its Application to a Real Network.- Benchmarking Stream Clustering for Churn Detection in Dynamic Networks .- Canonical Correlation Methods for Exploring Microbe-Environment Interactions in Deep Subsurface.- KeCo: Kernel-based Online Co-agreement Algorithm.- Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees.- Enumerating Maximal Clique Sets with Pseudo-Clique Constraint.