An edition of Advances in Knowledge Discovery and Data Mining
(2013)
Advances in Knowledge Discovery and Data Mining
17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II
by Jian Pei
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The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.
Publish Date
2013
Publisher
Springer Berlin Heidelberg,
Imprint: Springer
Language
English
Pages
588
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Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II
2013, Springer Berlin Heidelberg, Imprint: Springer
electronic resource :
in English
3642374565 9783642374562
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Table of Contents
ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation
Product and User Dependent Social Network Models for Recommender Systems
Learning Representative Nodes in Social Networks
Tracing Influential Nodes in a Social Network with Competing Information
ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks
Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks
Modeling Social Information Learning among Taxi Drivers
Mining User Interests from Information Sharing Behaviors in Social Media
Anonymization for Multiple Released Social Network Graphs
A New, Fast and Accurate Algorithm for Hierarchical Clustering on Euclidean Distances
Clustering Patient Medical Records via Sparse Subspace Representation
A Unified Metric for Categorical and Numerical Attributes in Data Clustering
An Extension of the Infinite Relational Model Incorporating Interaction between Objects
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Density-Based Clustering Based on Hierarchical Density Estimates
Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion
The Role of Hubs in Cross-Lingual Supervised Document Retrieval
Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters
Query-Document Relevance Topic Models
A Two-Stage Approach for Generating Topic Models
Effective Top-Down Active Learning for Hierarchical Text Classification
Forgetting Word Segmentation in Chinese Text Classification with L1-Regularized Logistic Regression
Crest: Cluster-based Representation Enrichment for Short Text Classification
Cross Language Prediction of Vandalism on Wikipedia Using Article Views and Revisions
An Optimized Cost-Sensitive SVM for Imbalanced Data Learning
A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification
Class Based Weighted K-Nearest Neighbor over Imbalance Dataset
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ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning
Differential Privacy Preserving Spectral Graph Analysis
Sorted Nearest Neighborhood Clustering for Efficient Private Blocking
On Linear Refinement of Differential Privacy-Preserving Query Answering
A Coupled Clustering Approach for Items Recommendation
Location Recommendation Based on Periodicity of Human Activities and Location Categories
Top-N Recommendations by Learning User Preference Dynamics
Semantic Title Evaluation and Recommendation Based on Topic Models
Video Quality Prediction over Wireless 4G
A Self-immunizing Manifold Ranking for Image Retrieval
Low-Rank Matrix Recovery with Discriminant Regularization
Multi-Manifold Ranking: Using Multiple Features for Better Image Retrieval
One Pass Concept Change Detection for Data Streams
Incremental Mining of Significant URLs in Real-Time and Large-Scale Social Streams
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A Concept-Drifting Detection Algorithm for Categorical Evolving Data
Framework for Storing and Processing Relational Entities in Stream Mining
Discovering Semantics from Multiple Correlated Time Series Stream
Matrix Factorization With Aggregated Observations
An Approach to Identifying False Traces in Process Event Logs
Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes
Adaptive Temporal Entity Resolution on Dynamic Databases
Fuzzy Multi-Sphere Support Vector Data Description.
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