Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II / edited by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu.

Format:

Book

Contributor:

Pei, Jian, editor.

Tseng, Vincent S., editor.

Cao, Longbing, 1969- editor.

Motoda, Hiroshi, editor.

Xu, Guandong, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 7819.

Lecture Notes in Artificial Intelligence ; 7819

Language:

English

Subjects (All):

Data mining.

Artificial intelligence.

Information storage and retrieval.

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 (XXII, 588 pages) : 157 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

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.

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

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

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

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.

Other Format:

Printed edition:

ISBN:

978-3-642-37456-2

9783642374562

Access Restriction:

Restricted for use by site license.