Advances in Knowledge Discovery and Data Mining

This two-volume set, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015.

Social Networks and Social Media.- Maximizing Friend-Making Likelihood for Social Activity Organization.- What Is New in Our City? A Framework for Event Extraction Using Social Media Posts.- Link Prediction in Aligned Heterogeneous Networks.- Scale-Adaptive Group Optimization for Social Activity Planning.- Influence Maximization Across Partially Aligned Heterogeneous Social Networks.- Multiple Factors-Aware Diffusion in Social Networks.- Understanding Community Effects on Information Diffusion.- On Burst Detection and Prediction in Retweeting Sequence.- Few Things About Idioms: Understanding Idioms and Its Users in the Twitter Online Social Network.- Retweeting Activity on Twitter: Signs of Reception.- Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network.- Classification.- Double Ramp Loss Based Reject Option Classifier.- Efficient Methods for Multi-label Classification.- A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification.- Learning Topic-Oriented Word Embedding for Query Classification.- Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes.- Distributed Document Representation for Document Classification.- Prediction of Emergency Events: A Multi-Task Multi-Label Learning Approach.- Nearest Neighbor Method Based on Local Distribution for Classification.- Immune Centroids Over-Sampling Method for Multi-Class Classification.- Optimizing Classifiers for Hypothetical Scenarios.- Repulsive-SVDD Classification.- Centroid-Means-Embedding: an Approach to Infusing Word Embeddings into Features for Text Classification.- Machine Learning.- Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning.- Multi-Task Metric Learning on Network Data.- A Bayesian Nonparametric Approach to Multilevel Regression.- Learning Conditional Latent Structures from Multiple Data Sources.- Collaborative Multi-view Learning with Active Discriminative 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.