Discovery Science [electronic resource] : 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015. Proceedings / edited by Nathalie Japkowicz, Stan Matwin.

Cham : Springer International Publishing : Imprint: Springer, 2015.
XV, 342 p. 96 illus. in color. online resource.
1st ed. 2015.
Lecture notes in computer science 0302-9743 ; 9356
Lecture notes in computer science
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Computer science.
Database management.
Data mining.
Information storage and retrieval.
Artificial intelligence.
Local subjects:
Computer Science. (search)
Artificial Intelligence (incl. Robotics). (search)
Data Mining and Knowledge Discovery. (search)
Information Storage and Retrieval. (search)
Database Management. (search)
Algorithm Analysis and Problem Complexity. (search)
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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.
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.
Japkowicz, Nathalie. editor.
Matwin, Stan, editor.
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10.1007/978-3-319-24282-8 doi