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19th DS 2016: Bari, Italy
- Toon Calders, Michelangelo Ceci, Donato Malerba:
Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings. Lecture Notes in Computer Science 9956, 2016, ISBN 978-3-319-46306-3
Pattern Mining and Rules
- Cláudio Rebelo de Sá
, Wouter Duivesteijn, Carlos Soares
Exceptional Preferences Mining. 3-18 - Guillaume Bosc, Jérôme Golebiowski, Moustafa Bensafi, Céline Robardet, Marc Plantevit
Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships. 19-34 - Matej Mihelcic
InterSet: Interactive Redescription Set Exploration. 35-50 - Matthijs van Leeuwen, Antti Ukkonen:
Expect the Unexpected - On the Significance of Subgroups. 51-66 - Pascal Welke, Tamás Horváth, Stefan Wrobel:
Min-Hashing for Probabilistic Frequent Subtree Feature Spaces. 67-82
Structured Output Prediction
- Leon Bornemann, Jason Lecerf, Panagiotis Papapetrou:
STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals. 85-100 - Giuseppe Rizzo
Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data. 101-117 - Aljaz Osojnik
Option Predictive Clustering Trees for Multi-target Regression. 118-133 - Leandro Galvão, Luiz H. C. Merschmann
HSIM: A Supervised Imputation Method for Hierarchical Classification Scenario. 134-148
Applications
- Sebastian Kauschke, Johannes Fürnkranz
Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype. 151-166 - Pasquale Ardimento
Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques. 167-182 - Mariana Oliveira
Predicting Wildfires - Propositional and Relational Spatio-Temporal Pre-processing Approaches. 183-197 - Juan Gabriel Colonna, João Gama
Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach. 198-212 - Shazia Tabassum, João Gama
Evolution Analysis of Call Ego-Networks. 213-225
Ensemble Learning
- Dariusz Brzezinski
Ensemble Diversity in Evolving Data Streams. 229-244 - Nikola Simidjievski
Learning Ensembles of Process-Based Models by Bagging of Random Library Samples. 245-260 - Isak Karlsson, Panagiotis Papapetrou, Henrik Boström:
Early Random Shapelet Forest. 261-276
Classification
- Julius Stecher, Frederik Janssen, Johannes Fürnkranz
Shorter Rules Are Better, Aren't They? 279-294 - Annalisa Appice, Pietro Guccione:
Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification. 295-309 - Matej Petkovic
A Comparison of Different Data Transformation Approaches in the Feature Ranking Context. 310-324 - Gert Jacobusse, Cor J. Veenman:
On Selection Bias with Imbalanced Classes. 325-340 - Ali Pesaranghader, Herna L. Viktor, Eric Paquet:
A Framework for Classification in Data Streams Using Multi-strategy Learning. 341-355
Networks
- Fabrizio Angiulli
Anomaly Detection in Networks with Temporal Information. 359-375 - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Accelerating Computation of Distance Based Centrality Measures for Spatial Networks. 376-391 - Ruggero G. Pensa, Gianpiero di Blasi:
A Semi-supervised Approach to Measuring User Privacy in Online Social Networks. 392-407 - Fabíola Souza F. Pereira, Sandra de Amo, João Gama
On Using Temporal Networks to Analyze User Preferences Dynamics. 408-423
Kernels and Deep Learning
- Huibin Shen, Sándor Szedmák, Céline Brouard
Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning. 427-441 - Timo Nolle
Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders. 442-456 - Jan Ruben Zilke, Eneldo Loza Mencía, Frederik Janssen:
DeepRED - Rule Extraction from Deep Neural Networks. 457-473 - Katrin Ullrich, Jennifer Mack
Ligand Affinity Prediction with Multi-pattern Kernels. 474-489
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