Discovery Science

Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization.- Big Data Analysis of StockTwits to Predict Sentiments in the Stock Market.- Synthetic Sequence Generator for Recommender Systems - Memory Biased Random Walk on a Sequence Multilayer Network.- Predicting Sepsis Severity from Limited Temporal Observations.- Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining.- Antipattern Discovery in Ethiopian Bagana Songs.- Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project.- Multilayer Clustering: A Discovery Experiment on Country Level Trading Data.- Medical Document Mining Combining Image Exploration and Text Characterization.- Mining Cohesive Itemsets in Graphs.- Mining Rank Data.- Link Prediction on the Semantic MEDLINE Network: An Approach to Literature-Based Discovery.- Medical Image Retrieval Using Multimodal Data.- Fast Computation of the Tree Edit Distance between Unordered Trees Using IP Solvers.- Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency.- Incremental Learning with Social Media Data to Predict Near Real-Time Events.- Stacking Label Features for Learning Multilabel Rules.- Selective Forgetting for Incremental Matrix Factorization in Recommender Systems.- Providing Concise Database Covers Instantly by Recursive Tile Sampling.- Resampling-Based Framework for Estimating Node Centrality of Large Social Network.- Detecting Maximum k-Plex with Iterative Proper l-Plex Search.- Exploiting Bhattacharyya Similarity Measure to Diminish User Cold-Start Problem in Sparse Data.- Failure Prediction - An Application in the Railway Industry.- Wind Power Forecasting Using Time Series Cluster Analysis.- Feature Selection in Hierarchical Feature Spaces.- Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes inFisheries Ecology.- An Efficient Algorithm for Enumerating Chordless Cycles and Chordless Paths.- Algorithm Selection on Data Streams.- Sparse Coding for Key Node Selection over Networks.- Variational Dependent Multi-output Gaussian Process Dynamical Systems.