Below is the complete list of accepted papers; congratulations to the authors!
Papers accepted as regular talks or posters are published in the LNCS proceedings. First Look papers are not published in the proceedings, but the authors are given the opportunity to give a talk at the conference. The papers are listed in no particular order.
Regular talks
- Multi-user diverse recommendations through greedy vertex-angle maximization
Joao Magalhaes - Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships
Mohammad Jaber, Panagiotis Papapetrou, Sven Helmer and Peter Wood - Detecting Localised Anomalous Behaviour in a Computer Network
Melissa Turcotte, Nicholas Heard and Joshua Neil - Malware Phylogenetics Based on the Multiview Graphical Lasso
Blake Anderson, Terran Lane and Curtis Hash - A Deep Interpretation of Classifier Chains
Jesse Read and Jaakko Hollmén - Real-time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability
Steven PD Woudenberg, Linda C van der Gaag, Ad Feelders and Armin RW Elbers - From Sensor Readings to Predictions: on the Process of Developing Practical Soft Sensors
Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador, Stephanie Schwan, Athanasios Tsakonas and Indre Zliobaite - Parametric nonlinear regression models for dike monitoring systems
Harm de Vries, George Azzopardi, André Koelewijn and Arno Knobbe - Modeling daily profiles of solar global radiation using statistical and data mining techniques
Pedro F Jiménez Pérez and Llanos Mora-López - Resampling approaches to improve news importance prediction
Nuno Moniz, Luís Torgo and Fátima Rodrigues - Indirect estimation of shortest path distributions with small-world experiments
Antti Ukkonen - Finding the Intrinsic Patterns in a Collection of Time Series
Anke Schweier and Frank Höppner - Granularity of co-Evolution Patterns in Dynamic Attributed Graphs
Elise Desmier, Marc Plantevit, Celine Robardet and Jean-François Boulicaut - Exploiting Novel Properties of Space-filling Curves for Data Analysis
David Weston - Instant Exceptional Model Mining using Weighted Controlled Pattern Sampling
Sandy Moens and Mario Boley
Regular posters
- Extracting Predictive Models from Marked-Up Free-Text Documents at The Royal Botanic Gardens, Kew, London
Allan Tucker and Don Kirkup - Modeling stationary data by a class of generalized Ornstein-Uhlenbeck processes: the Gaussian case.
Argimiro Arratia, Alejandra Cabaña and Enrique Cabaña - Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD
Christian Borgelt and David Picado-Muiño - Identifying Bilingual Segments for Translation Generation
Kavitha Karimbi Mahesh, Luís Gomes and José Lopes - Model-based Time Series Classification
Alexios Kotsifakos and Panagiotis Papapetrou - Comparing Pre-Defined Software Engineering Metrics with Free-Text for the Prediction of Code ‘Ripples’
Steve Counsell, Allan Tucker, Stephen Swift and Guy Fitzgerald - An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time
Luis Moreira-Matias, João Gama, João Mendes-Moreira and Jorge Freire De Sousa - ApiNATOMY: Towards Multiscale Views of Human Anatomy
Bernard de Bono, Pierre Grenon, Michiel Helvensteijn, Joost Kok and Natallia Kokash - Widened KRIMP: Better Performance Through Diverse Parallelism
Oliver Sampson and Michael Berthold - RealKrimp – Finding Hyperintervals that Compress with MDL for Real-Valued Data
Jouke Witteveen, Wouter Duivesteijn, Arno Knobbe and Peter Grünwald - A Spatio-Temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries
Neda Trifonova, Allan Tucker, Daniel Duplisea and Andrew Kenny - Mining Representative Frequent Patterns in a Hierarchy of Contexts
Julien Rabatel, Sandra Bringay and Pascal Poncelet - Fast simultaneous clustering and feature selection for binary data
Charlotte Laclau and Mohamed Nadif - Mining longitudinal epidemiological data to understand a reversible disorder
Tommy Hielscher, Myra Spiliopoulou, Henry Völzke and Jens-Peter Kühn - ERMiner: Sequential Rule Mining using Equivalence Classes
Philippe Fournier-Viger and Souleymane Zida - An approach to controlling the runtime for search based modularisation of sequential source code check-ins
Mahir Arzoky, Stephen Swift, Steve Counsell and James Cain - A nonparametric mixture model for personalizing web search
El Mehdi Rochd and Mohamed Quafafou - The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction
Somsack Inthasone, Nicolas Pasquier, Andrea Tettamanzi and Célia Da Costa Pereira
First Look talks
- Network Sonification System Based on Interactive Genetic Algorithm
Ludovic Laffineur and Rudi Giot - Post-processing of Rule Models using Metaheuristics
Bart Minnaert and David Martens - Data Streams Representation Using High-level Patterns
Jakub Ševcech and Mária Bieliková
