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

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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.

Resolution Transfer in Cancer Classification Based on Amplification Patterns
1(8)
Prem Raj Adhikari
Jaakko Hollmen
Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning
9(8)
Annalisa Appice
Sonja Pravilovic
Antonietta Lanza
Donato Malerba
Discovery of Parameters for Animation of Midge Swarms
17(8)
Judith Bjorndahl
Ashley Herman
Richard Hamilton
Howard J. Hamilton
Mark Brigham
No Sentiment is an Island: Sentiment Classification on Medical Forums
25(8)
Victoria Bohicev
Marina Sokolova
Active Learning for Classifying Template Matches in Historical Maps
33(15)
Benedikt Budig
Thomas C. van Dijk
An Evaluation of Score Descriptors Combined with Non-linear Models of Expressive Dynamics in Music
48(15)
Carlos Eduardo Cancino Chacon
Maarten Grachten
Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of Environmental Data Analysis
63(15)
Maha El Meseery
Orland Hoeber
Generalized Shortest Path Kernel on Graphs
78(8)
Linus Hermansson
Fredrik D. Johansson
Osamu Watanabe
Ensembles of Extremely Randomized Trees for Multi-target Regression
86(15)
Dragi Kocev
Michelangelo Ceci
Clustering-Based Optimised Probabilistic Active Learning (COPAL)
101(15)
Georg Krempl
Tuan Cuong Ha
Myra Spiliopoulou
Predictive Analysis on Tracking Emails for Targeted Marketing
116(15)
Xiao Luo
Revanth Nadanasabapathy
A. Nur Zincir-Heywood
Keith Gallant
Janith Peduruge
Semi-supervised Learning for Stream Recommender Systems
131(15)
Pawel Matuszyk
Myra Spiliopoulou
Detecting Transmembrane Proteins Using Decision Trees
146(15)
Mohammad Hossein Nikravan
Ashwani Kumar
Sandra Zilles
Change Point Detection for Information Diffusion Tree
161(9)
Kouzou Ohara
Kazumi Saito
Masahiro Kimura
Hiroshi Motoda
Multi-label Classification via Multi-target Regression on Data Streams
170(16)
Aljaz Osojnik
Pance Panov
Saso Dzeroski
Periodical Skeletonization for Partially Periodic Pattern Mining
186(15)
Keisuke Olaki
Akihiro Yamamoto
Predicting Drugs Adverse Side-Effects Using a Recommender-System
201(8)
Diogo Pinto
Pedro Costa
Rui Camacho
Vitor Santos Costa
Dr. Inventor Framework: Extracting Structured Information from Scientific Publications
209(12)
Francesco Ronzano
Horacio Saggion
Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel
221(15)
Leander Schietgat
Thomas Fannes
Jan Ramon
Hierarchical Multidimensional Classification of Web Documents with MultiWebClass
236(15)
Francesco Serafino
Gianvito Pio
Michelangelo Ceci
Donato Malerba
Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets
251(15)
Credell Simeon
Robert Hilderman
On the Feasibility of Discovering Meta-Patterns from a Data Ensemble
266(9)
Einoshin Suzuki
An Algorithm for Influence Maximization in a Two-Terminal Series Parallel Graph and its Application to a Real Network
275(9)
Koji Tabata
Atsuyoshi Nakamura
Mineichi Kudo
Benchmarking Stream Clustering for Churn Detection in Dynamic Networks
284(15)
Serdar Baran Tatar
Andrew McIntyre
Nur Zincir-Heywood
Malcolm Heywood
Canonical Correlation Methods for Exploring Microbe-Environment Interactions in Deep Subsurface
299(9)
Viivi Uurtio
Malin Bomberg
Kristian Nybo
Merja Itavaara
Juho Rousu
KeCo: Kernel-Based Online Co-agreement Algorithm
308(8)
Laurens Wiel
Tom Heskes
Evgeni Levin
Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees
316(8)
Tomoya Yamazaki
Akihiro Yamamoto
Tetsuji Kuboyama
Enumerating Maximal Clique Sets with Pseudo-Clique Constraint
324(17)
Hongjie Zhai
Makoto Haraguchi
Yoshiaki Okubo
Etsuji Tomita
Author Index 341