Advances in Knowledge Discovery and Data Mining

Prior for Recommendation.- Online and Stochastic Universal Gradient Methods for Minimizing Regularized Hölder Continuous Finite Sums in Machine Learning.- Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages.- Uncovering the Latent Structures of Crowd Labeling.- Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models.- Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation.- Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection.- A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization.- Applications.- On Damage Identification in Civil Structures Using Tensor Analysis.- Predicting Smartphone Adoption in Social Networks.- Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data.- Locating Self-collection Points for Last-mile Logistics using Public Transport Data.- A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field.- Online Prediction of Chess Match Result.- Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments.- Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and its Application to Autism Research Literature.- Automated Detection for Probable Homologous Foodborne Disease Outbreaks.- Identifying Hesitant and Interested Customers for Targeted Social Marketing.- Activity-Partner Recommendation.- Iterative Use of Weighted Voronoi Diagrams to Improve Scalability in Recommender Systems.- Novel Methods and Algorithms Principal Sensitivity Analysis.- SocNL: Bayesian Label Propagation with Confidence.- An Incremental Local Distribution Network for Unsupervised Learning.- Trend-Based Citation Count Prediction for Research Articles.- Mining Text Enriched Heterogeneous Citation Networks.- Boosting via Approaching Optimal Margin Distribution.- o-HETM: An Online Hierarchical Entity TopicModel for News Streams.- Modeling User Interest and Community Interest in Microbloggings: An Integrated Approach.- Minimal Jumping Emerging Patterns: Computation and Practical Assessment.- Factorisation.- An Empirical Study of Personal Factors and Social Effects on Rating Prediction.