Full Description
This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2015, held in banff, AB, Canada in October 2015. The 16 long and 12 short papers presendted together with 4 invited talks in this volume were carefully reviewed and selected from 44 submissions. The combination of recent advances in the development and analysis of methods for discovering scienti c knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scienti c domains, on the one hand, with the algorithmic advances in machine learning theory, on the other hand, makes every instance of this joint event unique and attractive.
Contents
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.
