Advances in Intelligent Data Analysis XVII: 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings

Front Matter ....Pages I-XIII
Front Matter ....Pages 1-1
 Elements of an Automatic Data Scientist  (Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen)....Pages 3-14
 The Need for Interpretability Biases  (Johannes Fürnkranz, Tomáš Kliegr)....Pages 15-27
Front Matter ....Pages 29-29
 Open Data Science  (Leo Lahti)....Pages 31-39
 Automatic POI Matching Using an Outlier Detection Based Approach  (Alexandre Almeida, Ana Alves, Rui Gomes)....Pages 40-51
 Fact Checking from Natural Text with Probabilistic Soft Logic  (Nouf Bindris, Saatviga Sudhahar, Nello Cristianini)....Pages 52-61
 ConvoMap: Using Convolution to Order Boolean Data  (Thomas Bollen, Guillaume Leurquin, Siegfried Nijssen)....Pages 62-74
 Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers  (Christoph Doell, Sarah Donohue, Cedrik Pätz, Christan Borgelt)....Pages 75-86
 Missing Data Imputation via Denoising Autoencoders: The Untold Story  (Adriana Fonseca Costa, Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu)....Pages 87-98
 Online Non-linear Gradient Boosting in Multi-latent Spaces  (Jordan Frery, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton)....Pages 99-110
 MDP-based Itinerary Recommendation using Geo-Tagged Social Media  (Radhika Gaonkar, Maryam Tavakol, Ulf Brefeld)....Pages 111-123
 Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization  (Anil Goyal, Emilie Morvant, Massih-Reza Amini)....Pages 124-136
 Non-negative Local Sparse Coding for Subspace Clustering  (Babak Hosseini, Barbara Hammer)....Pages 137-150
 Pushing the Envelope in Overlapping Communities Detection  (Said Jabbour, Nizar Mhadhbi, Badran Raddaoui, Lakhdar Sais)....Pages 151-163
 Right for the Right Reason: Training Agnostic Networks  (Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini)....Pages 164-174
 Link Prediction in Multi-layer Networks and Its Application to Drug Design  (Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux)....Pages 175-187
 A Hierarchical Ornstein-Uhlenbeck Model for Stochastic Time Series Analysis  (Ville Laitinen, Leo Lahti)....Pages 188-199
 Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts  (Marta Mercier, Miriam S. Santos, Pedro H. Abreu, Carlos Soares, Jastin P. Soares, João Santos)....Pages 200-212
 Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data  (Guillaume Metzler, Xavier Badiche, Brahim Belkasmi, Elisa Fromont, Amaury Habrard, Marc Sebban)....Pages 213-224
 Reduction Stumps for Multi-class Classification  (Felix Mohr, Marcel Wever, Eyke Hüllermeier)....Pages 225-237
 Decomposition of Quantitative Gaifman Graphs as a Data Analysis Tool  (José Luis Balcázar, Marie Ely Piceno, Laura Rodríguez-Navas)....Pages 238-250
 Exploring the Effects of Data Distribution in Missing Data Imputation  (Jastin Pompeu Soares, Miriam Seoane Santos, Pedro Henriques Abreu, Hélder Araújo, João Santos)....Pages 251-263
 Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors  (Oliver R. Sampson, Christian Borgelt, Michael R. Berthold)....Pages 264-277
 Expert Finding in Citizen Science Platform for Biodiversity Monitoring via Weighted PageRank Algorithm  (Zakaria Saoud, Colin Fontaine)....Pages 278-289
 Random Forests with Latent Variables to Foster Feature Selection in the Context of Highly Correlated Variables. Illustration with a Bioinformatics Application.  (Christine Sinoquet, Kamel Mekhnacha)....Pages 290-302
 Don’t Rule Out Simple Models Prematurely: A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML  (Benjamin Strang, Peter van der Putten, Jan N. van Rijn, Frank Hutter)....Pages 303-315
 Detecting Shifts in Public Opinion: A Big Data Study of Global News Content  (Saatviga Sudhahar, Nello Cristianini)....Pages 316-327
 Biased Embeddings from Wild Data: Measuring, Understanding and Removing  (Adam Sutton, Thomas Lansdall-Welfare, Nello Cristianini)....Pages 328-339
 Real-Time Excavation Detection at Construction Sites using Deep Learning  (Bas van Boven, Peter van der Putten, Anders Åström, Hakim Khalafi, Aske Plaat)....Pages 340-352
 COBRAS: Interactive Clustering with Pairwise Queries  (Toon Van Craenendonck, Sebastijan Dumančić, Elia Van Wolputte, Hendrik Blockeel)....Pages 353-366
 Automatically Wrangling Spreadsheets into Machine Learning Data Formats  (Gust Verbruggen, Luc De Raedt)....Pages 367-379
 Learned Feature Generation for Molecules  (Patrick Winter, Christian Borgelt, Michael R. Berthold)....Pages 380-391
Back Matter ....Pages 393-394