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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
  2. Altmetric Badge
    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
Overall attention for this book and its chapters
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Mentioned by

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9 tweeters

Citations

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2 Dimensions

Readers on

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71 Mendeley
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Title
Advances in Knowledge Discovery and Data Mining
Published by
Springer International Publishing, April 2015
DOI 10.1007/978-3-319-18038-0
ISBNs
978-3-31-918037-3, 978-3-31-918038-0
Editors

Cao, Tru, Lim, Ee-Peng, Zhou, Zhi-Hua, Ho, Tu-Bao, Cheung, David, Motoda, Hiroshi

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 6%
Researcher 2 3%
Student > Doctoral Student 2 3%
Student > Master 2 3%
Other 1 1%
Other 0 0%
Unknown 60 85%
Readers by discipline Count As %
Computer Science 7 10%
Engineering 2 3%
Chemistry 1 1%
Unknown 61 86%