Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part [Paperback]

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.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 CompetingInformation.- 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.- 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 Labeliló%