Advances in Intelligent Data Analysis XVII

Chapter 1 Elements of an Automatic Data Scientist

Chapter 2 The Need for Interpretability Biases

Chapter 3 Open Data Science

Chapter 4 Automatic POI Matching Using an Outlier Detection Based Approach

Chapter 5 Fact Checking from Natural Text with Probabilistic Soft Logic

Chapter 6 ConvoMap: Using Convolution to Order Boolean Data

Chapter 7 Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers

Chapter 8 Missing Data Imputation via Denoising Autoencoders: The Untold Story

Chapter 9 Online Non-linear Gradient Boosting in Multi-latent Spaces

Chapter 10 MDP-based Itinerary Recommendation using Geo-Tagged Social Media

Chapter 11 Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization

Chapter 12 Non-negative Local Sparse Coding for Subspace Clustering

Chapter 13 Pushing the Envelope in Overlapping Communities Detection

Chapter 14 Right for the Right Reason: Training Agnostic Networks

Chapter 15 Link Prediction in Multi-layer Networks and Its Application to Drug Design

Chapter 16 A Hierarchical Ornstein-Uhlenbeck Model for Stochastic Time Series Analysis

Chapter 17 Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts

Chapter 18 Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data

Chapter 19 Reduction Stumps for Multi-class Classification

Chapter 20 Decomposition of Quantitative Gaifman Graphs as a Data Analysis Tool

Chapter 21 Exploring the Effects of Data Distribution in Missing Data Imputation

Chapter 23 Expert Finding in Citizen Science Platform for Biodiversity Monitoring via Weighted PageRank Algorithm

Chapter 24 Random Forests with Latent Variables to Foster Feature Selection in the Context of Highly Correlated Variables. Illustration with a Bioinformatics Application.

Chapter 25 Don’t Rule Out Simple Models Prematurely: A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML

Chapter 26 Detecting Shifts in Public Opinion: A Big Data Study of Global News Content

Chapter 27 Biased Embeddings from Wild Data: Measuring, Understanding and Removing

Chapter 28 Real-Time Excavation Detection at Construction Sites using Deep Learning

Chapter 29 COBRAS: Interactive Clustering with Pairwise Queries

Chapter 30 Automatically Wrangling Spreadsheets into Machine Learning Data Formats

Chapter 31 Learned Feature Generation for Molecules