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 I
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
610
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1
Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I
2013, Springer London, Limited
in English
3642374522 9783642374524
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2
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 London, Limited
in English
3642374557 9783642374555
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3
Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I
2013, Springer Berlin Heidelberg, Imprint: Springer
electronic resource :
in English
3642374530 9783642374531
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Book Details
Table of 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
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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
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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
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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.
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- Created June 28, 2019
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| September 12, 2024 | Edited by MARC Bot | import existing book |
| March 1, 2022 | Edited by ImportBot | import existing book |
| June 28, 2019 | Created by MARC Bot | Imported from Internet Archive item record |