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

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Japkowicz, Nathalie (Editor ), Matwin, Stan (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Lecture Notes in Artificial Intelligence, 9356
Temas:
Artificial intelligence.
Data mining.
Information storage and retrieval systems.
Database management.
Algorithms.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Database Management.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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