Logo - springer
Slogan - springer

Computer Science - Artificial Intelligence | Advances in Knowledge Discovery and Data Mining - 13th Pacific-Asia Conference, PAKDD 2009 Bangkok,

Advances in Knowledge Discovery and Data Mining

13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 Proceedings

Theeramunkong, T., Kijsirikul, B., Cercone, N., Ho, T.-B. (Eds.)


Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-642-01307-2

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase

learn more about Springer eBooks

add to marked items


Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-642-01306-5

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009.

The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

Content Level » Research

Keywords » data mining - data warehouse - database - databases - knowledge - knowledge discovery - knowledge-based system - knowledge-based systems - learning - machine learning - statistics - visualization - warehousing

Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Information Systems and Applications - Theoretical Computer Science

Table of contents 

Keynote Speeches.- KDD for BSN – Towards the Future of Pervasive Sensing.- Finding Hidden Structures in Relational Databases.- The Future of Search: An Online Content Perspective.- Regular Papers.- DTU: A Decision Tree for Uncertain Data.- Efficient Privacy-Preserving Link Discovery.- On Link Privacy in Randomizing Social Networks.- Sentence-Level Novelty Detection in English and Malay.- Text Categorization Using Fuzzy Proximal SVM and Distributional Clustering of Words.- Cool Blog Classification from Positive and Unlabeled Examples.- Thai Word Segmentation with Hidden Markov Model and Decision Tree.- An Efficient Method for Generating, Storing and Matching Features for Text Mining.- Robust Graph Hyperparameter Learning for Graph Based Semi-supervised Classification.- Regularized Local Reconstruction for Clustering.- Clustering with Lower Bound on Similarity.- Approximate Spectral Clustering.- An Integration of Fuzzy Association Rules and WordNet for Document Clustering.- Nonlinear Data Analysis Using a New Hybrid Data Clustering Algorithm.- A Polynomial-Delay Polynomial-Space Algorithm for Extracting Frequent Diamond Episodes from Event Sequences.- A Statistical Approach for Binary Vectors Modeling and Clustering.- Multi-resolution Boosting for Classification and Regression Problems.- Interval Data Classification under Partial Information: A Chance-Constraint Approach.- Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules.- The Studies of Mining Frequent Patterns Based on Frequent Pattern Tree.- Discovering Periodic-Frequent Patterns in Transactional Databases.- Quantifying Asymmetric Semantic Relations from Query Logs by Resource Allocation.- Acquiring Semantic Relations Using the Web for Constructing Lightweight Ontologies.- Detecting Abnormal Events via Hierarchical Dirichlet Processes.- Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy.- A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification.- Analysis of Variational Bayesian Matrix Factorization.- Variational Bayesian Approach for Long-Term Relevance Feedback.- Detecting Link Hijacking by Web Spammers.- A Data Driven Ensemble Classifier for Credit Scoring Analysis.- A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams.- Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data.- Exploiting the Block Structure of Link Graph for Efficient Similarity Computation.- Online Feature Selection Algorithm with Bayesian ?1 Regularization.- Feature Selection for Local Learning Based Clustering.- RV-SVM: An Efficient Method for Learning Ranking SVM.- A Kernel Framework for Protein Residue Annotation.- Dynamic Exponential Family Matrix Factorization.- A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization.- Short Papers.- Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem.- Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile?.- Arif Index for Predicting the Classification Accuracy of Features and Its Application in Heart Beat Classification Problem.- UCI++: Improved Support for Algorithm Selection Using Datasetoids.- Accurate Synthetic Generation of Realistic Personal Information.- An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining.- Information Extraction from Thai Text with Unknown Phrase Boundaries.- A Corpus-Based Approach for Automatic Thai Unknown Word Recognition using Ensemble Learning Techniques.- A Hybrid Approach to Improve Bilingual Multiword Expression Extraction.- Addressing the Variability of Natural Language Expression in Sentence Similarity with Semantic Structure of the Sentences.- Scalable Web Mining with Newistic.- Building a Text Classifier by a Keyword and Unlabeled Documents.- A Discriminative Approach to Topic-Based Citation Recommendation.- Romanization of Thai Proper Names Based on Popularity of Usages.- Budget Semi-supervised Learning.- When does Co-training Work in Real Data?.- Classification of Audio Signals Using a Bhattacharyya Kernel-Based Centroid Neural Network.- Sparse Kernel Learning and the Relevance Units Machine.- Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces.- Clustering Documents Using a Wikipedia-Based Concept Representation.- An Instantiation of Hierarchical Distance-Based Conceptual Clustering for Propositional Learning.- Computing Substitution Matrices for Genomic Comparative Analysis.- Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data.- Aggregated Subset Mining.- Hot Item Detection in Uncertain Data.- Spanning Tree Based Attribute Clustering.- The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction.- Transfer Learning Action Models by Measuring the Similarity of Different Domains.- On Optimal Rule Mining: A Framework and a Necessary and Sufficient Condition of Antimonotonicity.- Discovering Action Rules That Are Highly Achievable from Massive Data.- Extracting Fuzzy Rules for Detecting Ventricular Arrhythmias Based on NEWFM.- Trace Mining from Distributed Assembly Databases for Causal Analysis.- Let’s Tango – Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis.- An Efficient Candidate Pruning Technique for High Utility Pattern Mining.- Grouped ECOC Conditional Random Fields for Prediction of Web User Behavior.- CLHQS: Hierarchical Query Suggestion by Mining Clickthrough Log.- X-Tracking the Changes of Web Navigation Patterns.- Tree-Based Method for Classifying Websites Using Extended Hidden Markov Models.- Emotion Recognition of Pop Music Based on Maximum Entropy with Priors.- Simultaneously Finding Fundamental Articles and New Topics Using a Community Tracking Method.- Towards a Novel Association Measure via Web Search Results Mining.- A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data.- Mining Outliers with Faster Cutoff Update and Space Utilization.- Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data.- K-Dominant Skyline Computation by Using Sort-Filtering Method.- Effective Boosting of Naïve Bayesian Classifiers by Local Accuracy Estimation.- COMUS: Ontological and Rule-Based Reasoning for Music Recommendation System.- Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval.- Item Preference Parameters from Grouped Ranking Observations.- Cross-Channel Query Recommendation on Commercial Mobile Search Engine: Why, How and Empirical Evaluation.- Data Mining for Intrusion Detection: From Outliers to True Intrusions.- A Multi-resolution Approach for Atypical Behaviour Mining.- Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions.- Centroid Neural Network with Spatial Constraints.- Diversity in Combinations of Heterogeneous Classifiers.- Growth Analysis of Neighbor Network for Evaluation of Damage Progress.- A Parallel Algorithm for Finding Related Pages in the Web by Using Segmented Link Structures.- Boosting Biomedical Information Retrieval Performance through Citation Graph: An Empirical Study.- Similarity-Based Feature Selection for Learning from Examples with Continuous Values.- Application-Independent Feature Construction from Noisy Samples.- Estimating Optimal Feature Subsets Using Mutual Information Feature Selector and Rough Sets.- Speeding Up Similarity Search on a Large Time Series Dataset under Time Warping Distance.- A Novel Fractal Representation for Dimensionality Reduction of Large Time Series Data.- Clustering Data Streams in Optimization and Geography Domains.- CBDT: A Concept Based Approach to Data Stream Mining.- Meaningful Subsequence Matching under Time Warping Distance for Data Stream.- An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise.- On Pairwise Kernels: An Efficient Alternative and Generalization Analysis.- A Family-Based Evolutional Approach for Kernel Tree Selection in SVMs.- An Online Incremental Learning Vector Quantization.- On Mining Rating Dependencies in Online Collaborative Rating Networks.- Learning to Extract Relations for Relational Classification.

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Artificial Intelligence (incl. Robotics).