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Advances in Knowledge Discovery and Data Mining

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Cover of 'Advances in Knowledge Discovery and Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Maximizing Friend-Making Likelihood for Social Activity Organization
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    Chapter 2 What Is New in Our City? A Framework for Event Extraction Using Social Media Posts
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    Chapter 3 Link Prediction in Aligned Heterogeneous Networks
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    Chapter 4 Scale-Adaptive Group Optimization for Social Activity Planning
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    Chapter 5 Influence Maximization Across Partially Aligned Heterogenous Social Networks
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    Chapter 6 Multiple Factors-Aware Diffusion in Social Networks
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    Chapter 7 Understanding Community Effects on Information Diffusion
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    Chapter 8 On Burst Detection and Prediction in Retweeting Sequence
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    Chapter 9 #FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network
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    Chapter 10 Retweeting Activity on Twitter: Signs of Deception
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    Chapter 11 Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network
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    Chapter 12 Double Ramp Loss Based Reject Option Classifier
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    Chapter 13 Efficient Methods for Multi-label Classification
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    Chapter 14 A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification
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    Chapter 15 Learning Topic-Oriented Word Embedding for Query Classification
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    Chapter 16 Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes
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    Chapter 17 Distributed Document Representation for Document Classification
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    Chapter 18 Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach
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    Chapter 19 Nearest Neighbor Method Based on Local Distribution for Classification
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    Chapter 20 Immune Centroids Over-Sampling Method for Multi-Class Classification
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    Chapter 21 Optimizing Classifiers for Hypothetical Scenarios
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    Chapter 22 Repulsive-SVDD Classification
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    Chapter 23 Centroid-Means-Embedding: An Approach to Infusing Word Embeddings into Features for Text Classification
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    Chapter 24 Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning
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    Chapter 25 Multi-Task Metric Learning on Network Data
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    Chapter 26 A Bayesian Nonparametric Approach to Multilevel Regression
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    Chapter 27 Learning Conditional Latent Structures from Multiple Data Sources
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    Chapter 28 Collaborative Multi-view Learning with Active Discriminative Prior for Recommendation
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    Chapter 29 Online and Stochastic Universal Gradient Methods for Minimizing Regularized Hölder Continuous Finite Sums in Machine Learning
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    Chapter 30 Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages
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    Chapter 31 Uncovering the Latent Structures of Crowd Labeling
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    Chapter 32 Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models
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    Chapter 33 Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation
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    Chapter 34 Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection
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    Chapter 35 A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization
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    Chapter 36 On Damage Identification in Civil Structures Using Tensor Analysis
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    Chapter 37 Predicting Smartphone Adoption in Social Networks
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    Chapter 38 Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data
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    Chapter 39 Locating Self-Collection Points for Last-Mile Logistics Using Public Transport Data
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    Chapter 40 A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field
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    Chapter 41 Online Prediction of Chess Match Result
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    Chapter 42 Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments
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    Chapter 43 Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research Literature
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    Chapter 44 Automated Detection for Probable Homologous Foodborne Disease Outbreaks
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    Chapter 45 Identifying Hesitant and Interested Customers for Targeted Social Marketing
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    Chapter 46 Activity-Partner Recommendation
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    Chapter 47 Iterative Use of Weighted Voronoi Diagrams to Improve Scalability in Recommender Systems
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    Chapter 48 Principal Sensitivity Analysis
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    Chapter 49 SocNL: Bayesian Label Propagation with Confidence
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    Chapter 50 An Incremental Local Distribution Network for Unsupervised Learning
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    Chapter 51 Trend-Based Citation Count Prediction for Research Articles
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    Chapter 52 Mining Text Enriched Heterogeneous Citation Networks
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    Chapter 53 Boosting via Approaching Optimal Margin Distribution
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    Chapter 54 o-HETM: An Online Hierarchical Entity Topic Model for News Streams
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    Chapter 55 Modeling User Interest and Community Interest in Microbloggings: An Integrated Approach
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    Chapter 56 Minimal Jumping Emerging Patterns: Computation and Practical Assessment
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    Chapter 57 Rank Matrix Factorisation
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    Chapter 58 An Empirical Study of Personal Factors and Social Effects on Rating Prediction
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