Advances in Knowledge Discovery and Data Mining : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I / edited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda.

Format:

Book

Contributor:

Cao, Tru, Editor.

Lim, Ee-Peng, Editor.

Zhou, Zhi-Hua., Editor.

Ho, Tu Bao, Editor.

Cheung, David, Editor.

Motoda, Hiroshi, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 9077

Lecture Notes in Artificial Intelligence, 2945-9141 ; 9077

Language:

English

Subjects (All):

Data mining.

Artificial intelligence.

Information storage and retrieval systems.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Information Storage and Retrieval.

Local Subjects:

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Information Storage and Retrieval.

Physical Description:

1 online resource (XXX, 763 pages) : 224 illustrations

Edition:

1st ed. 2015.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2015.

System Details:

text file PDF

Summary:

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. The proceedings contain 117 paper carefully reviewed and selected from 405 submissions. They have been organized in topical sections named: social networks and social media; classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and sequential data; entity resolution and topic-modeling; itemset and high-performance data mining; and recommendations.

Contents:

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 Topic Model 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.

Other Format:

Printed edition:

ISBN:

978-3-319-18038-0

9783319180380

Access Restriction:

Restricted for use by site license.