Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I / 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., Editor.

Motoda, Hiroshi, Editor.

Xu, Guandong, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 7818

Lecture Notes in Artificial Intelligence, 2945-9141 ; 7818

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 (XXII, 610 pages) : 199 illustrations

Edition:

1st ed. 2013.

Contained In:

Springer Nature eBook

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:

Discovering Local Subgroups, with an Application to Fraud Detection

PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data

Frequent Pattern Mining in Attributed Trees

Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs

ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences

Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data

Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis

F-Trail: Finding Patterns in Taxi Trajectories

Mining Appliance Usage Patterns in Smart Home Environment

Computational Models of Stress in Reading Using Physiological and Physical Sensor Data

Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine

MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation

Fast and Effective Single Pass Bayesian Learning

Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data

Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph

Spectral Decomposition for Optimal Graph Index Prediction

Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model

Node Classification in Social Network via a Factor Graph Model

Fast Graph Stream Classification Using Discriminative Clique Hashing

Mining Interesting Itemsets in Graph Datasets

Robust Synchronization-Based Graph Clustering

Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors

Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection

EEG-Based Person Verification Using Multi-Sphere SVDD and UBM

Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula

Mining Representative Movement Patterns through Compression

NARGES: Prediction Model for Informed Routing in a Communications Network

Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction

Leveraging Hybrid Citation Context for Impact Summarization

Optimal Allocation of High Dimensional Assets through Canonical Vines

Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition

An Optimization Method for Proportionally Diversifying Search Results

Joint Naıve Bayes and LDA for Unsupervised Sentiment Analysis

An Unsupervised Learning Model to Perform Side Channel Attack

Decisive Supervised Learning

Learning Overlap Optimization for Domain Decomposition Methods

CLUEKR : CLUstering Based Efficient kNN Regression

AREM: A Novel Associative Regression Model Based on EM Algorithm

One-Class Transfer Learning with Uncertain Data

Time Series Forecasting Using Distribution Enhanced Linear Regression

Twin Bridge Transfer Learning for Sparse Collaborative Filtering

Dimensionality Reduction with Dimension Selection

Multi-View Visual Classification via a Mixed-Norm Regularizer

Mining Specific Features for Acquiring User Information Needs

Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning

Exploring Groups from Heterogeneous Data via Sparse Learning

Multiplex Topic Models

Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network

Learning from Multiple Observers with Unknown Expertise.

Other Format:

Printed edition:

ISBN:

978-3-642-37453-1

9783642374531

Access Restriction:

Restricted for use by site license.