Accepted Papers
This year, 113 papers among the 338 submissions have been accepted (with an acceptance rate of 33.43%).
| Regular papers | Short papers |Regular papers
1. | PAKDD09-0093 |
A Statistical Approach for Binary Vectors Modeling and Clustering
Nizar Bouguila |
2. | PAKDD09-0105 |
Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules
Einoshin Suzuki |
3. | PAKDD09-0125 |
A Data Driven Ensemble Classifier for Credit Scoring Analysis
Nan-Chen Hsieh |
4. | PAKDD09-0129 |
A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization
Nizar Bouguila |
5. | PAKDD09-0303 |
Clustering with lower bound on Similarity
Mohammad Al Hasan |
6. | PAKDD09-0319 |
Long-Term Relevance Feedback for Content-Based Image Suggestion
Sabri Boutemedjet |
7. | PAKDD09-0322 |
Ranking Vector Machine: An Efficient Method for Learning Ranking SVM
Hwanjo Yu |
8. | PAKDD09-0330 |
Sentence-Level Novelty Detection in English and Malay
Agus Trisnajaya Kwee |
9. | PAKDD09-0361 |
A kernel framework for protein residue annotation
Huzefa Rangwala |
10. | PAKDD09-0376 |
The Studies of Mining Frequent Patterns Based on Frequent Pattern Tree
Show-Jane Yen |
11. | PAKDD09-0402 |
A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification
Bin Liu |
12. | PAKDD09-0403 |
Thai Word Segmentation with Hidden Markov Model and Decision Tree
Poramin Bheganan |
13. | PAKDD09-0411 |
Approximate Spectral Clustering
Liang Wang |
14. | PAKDD09-0422 |
Detecting Link Hijacking by Web Spammers
YOUNGJOO CHUNG |
15. | PAKDD09-0423 |
Interval Data Classification under Partial Information: A Chance-Constraint Approach
Sahely Bhadra |
16. | PAKDD09-0450 |
Robust Graph Hyperparameter Learning for Graph Based Semi-Supervised Classification
Krikamol Muandet |
17. | PAKDD09-0456 |
Detecting abnormal events via Hierarchical Dirichlet Processes
Xian-Xing Zhang |
18. | PAKDD09-0457 |
Quantifying Asymmetric Semantic Relations from Query Logs by Resource Allocation
Zhiyuan Liu |
19. | PAKDD09-0483 |
A Polynomial-Delay Polynomial-Space Algorithm for Extracting Frequent Diamond Episodes from Event Sequences
Takashi Katoh |
20. | PAKDD09-0503 |
Cool Blog Classification from Positive and Unlabeled Examples
Kritsada Sriphaew |
21. | PAKDD09-0518 |
Regularized Local Reconstruction for Clustering
Jun Sun |
22. | PAKDD09-0546 |
Efficient Privacy-Preserving Link Discovery
Jaideep Vaidya |
23. | PAKDD09-0547 |
DTU: A Decision Tree for Uncertain Data
Biao Qin |
24. | PAKDD09-0560 |
Dynamic Exponential Family Matrix Factorization
Kohei Hayashi |
25. | PAKDD09-0575 |
An Integration of Fuzzy Association Rules and WordNetfor Document Clustering
Chun-Ling Chen |
26. | PAKDD09-0588 |
An efficient method for generating, storing and matching features for text mining
CHAN SHING KIT |
27. | PAKDD09-0621 |
Nonlinear Data Analysis Using A New Hybrid Data Clustering Algorithm
Ureerat Wattanachon |
28. | PAKDD09-0648 |
Text Categorization using Fuzzy Proximal SVM and Distributional Clustering of words
Arunkumar Mani |
29. | PAKDD09-0650 |
Analysis of Variational Bayesian Matrix Factorization
Shinichi Nakajima |
30. | PAKDD09-0660 |
On Link Privacy in Randomizing Social Networks
Xintao Wu |
31. | PAKDD09-0665 |
A Multi-Partition Multi-Chunk Ensemble Technique to Classify Concept-Drifting Data Streams
Mohammad Mehedy Masud |
32. | PAKDD09-0669 |
Online Feature Selection Algorithm with Bayesian l1 Regularization
Yunpeng Cai |
33. | PAKDD09-0683 |
Multi-Resolution Boosting for Classification and Regression
Chandan K Reddy |
34. | PAKDD09-0686 |
Exploiting the Block Structure of Link Graph for Efficient Similarity Computation
Pei Li |
35. | PAKDD09-0690 |
On Joint Feature Selection and Local Learning Based Clustering
Yiu-ming Cheung |
36. | PAKDD09-0700 |
Discovering Periodic-Frequent Patterns in Transactional Databases
Syed Khairuzzaman Tanbeer |
37. | PAKDD09-0710 |
Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data
PeiPei Li |
38. | PAKDD09-0712 |
Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy
Guoliang Li |
39. | PAKDD09-0714 |
Acquiring Semantic Relations using the Web as Background Knowledge
Wilson Wong |
Short papers
1. | PAKDD09-0102 |
Similarity-based Feature Selection for Learning From Examples with Continuous Values
Yun Li |
2. | PAKDD09-0106 |
Incremental nu-Support Vector Machine Learning
Bin Gu |
3. | PAKDD09-0122 |
Accurate Synthetic Generation of Realistic Personal Information
Peter Christen |
4. | PAKDD09-0124 |
Cross-Channel Query Recommendation on Commercial Mobile Search Engine: Why, How and Empirical Evaluation
Shunkai Fu |
5. | PAKDD09-0128 |
Arif Index for Predicting the Classification Accuracy of Features and its Application in Heart Beat Classification Problem
Muhammad Arif |
6. | PAKDD09-0156 |
Budget Semi-supervised Learning
Zhi-Hua Zhou |
7. | PAKDD09-0300 |
On Pairwise Kernels: An Efficient Alternative and Generalization Analysis
Hisashi Kashima |
8. | PAKDD09-0302 |
A New Local Distance-based Outlier Detection Approach for Scattered Real-World Data
Ke Zhang |
9. | PAKDD09-0307 |
A Parallel Algorithm for Finding Related Pages in the Web by using Segmented Link Structures
Shen Xiaoyan |
10. | PAKDD09-0320 |
Mining Both Positive and Negative Impact-Oriented Sequential Rules From Transactional Data: a Case Study in Social Security
Yanchang Zhao |
11. | PAKDD09-0321 |
Mining Outliers with Faster Cutoff Update and Space Utilization
Chi Cheong Szeto |
12. | PAKDD09-0327 |
X-tracking the Changes of Web Navigation Patterns
Long Wang |
13. | PAKDD09-0336 |
Building a Text Classifier by a Keyword and Unlabeled Documents
Qiu Qiang |
14. | PAKDD09-0349 |
Simultaneously Finding Fundamental Articles and New Topics Using a Community Tracking Method
Tieyun Qian |
15. | PAKDD09-0350 |
A Discriminative Approach to Topic-based Citation Suggestion
Jie Tang |
16. | PAKDD09-0355 |
Spatial Weighting for Bag-of-Visual-Words Representation and Its Application in Content-Based Image Retrieval
Xin Chen |
17. | PAKDD09-0359 |
UCI++: Improved Support for Algorithm Selection Using Datasetoids
Carlos Soares |
18. | PAKDD09-0362 |
Addressing the Variability of Natural Language Expression in Sentence Similarity with Semantic Structure of the Sentences
Palakorn Achananuparp |
19. | PAKDD09-0367 |
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions
Vadeerat Rinsurongkawong |
20. | PAKDD09-0372 |
Growth Analysis of Neighbor Network for Evaluation of Damage Progress
Ken-ichi Fukui |
21. | PAKDD09-0374 |
When does Co-Training Work in Real Data?
Charles X. Ling |
22. | PAKDD09-0377 |
Item Preference Parameters from Grouped Ranking Observations
Hideitsu Hino |
23. | PAKDD09-0380 |
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Su Yan |
24. | PAKDD09-0387 |
Application-independent feature construction from noisy samples
Dominique Gay |
25. | PAKDD09-0388 |
Boosting Biomedical Information Retrieval Performance through Citation Graph: An Empirical Study
Jimmy Huang |
26. | PAKDD09-0392 |
Grouped ECOC Conditional Random Fields for Prediction of Web User Behavior
Yong Zhen Guo |
27. | PAKDD09-0400 |
Centroid Neural Network with Spatial Constraints
Dong-Chul Park |
28. | PAKDD09-0401 |
Classification of Audio Signals Using a Bhattacharyya Kernel-based Centroid Neural Network
Dong-Chul Park |
29. | PAKDD09-0415 |
CBDT: A Concept Based Approach to Data Stream Mining
Stefan Hoeglinger |
30. | PAKDD09-0416 |
Clustering Documents using a Wikipedia-based Concept Representation
Anna Huang |
31. | PAKDD09-0418 |
Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis
Kam Tong Chan |
32. | PAKDD09-0424 |
A Corpus-based Approach for Automatic Thai Unknown Word Recognition using Ensemble Learning Techniques
Jakkrit TeCho |
33. | PAKDD09-0431 |
Extracting Fuzzy Rules for Detecting Ventricular Arrhythmias Based on NEWFM
Sang-Hong Lee |
34. | PAKDD09-0433 |
Meaningful Subsequence Matching under Time Warping Distance for Data Stream
Vit Niennattrakul |
35. | PAKDD09-0436 |
Speeding up Similarity Search on Large Time Series Dataset Under Time Warping Distance
Pongsakorn Ruengronghirunya |
36. | PAKDD09-0437 |
A Family-based Evolutional Approach for Kernel Tree Selectionin SVMs
Ithipan Methasate |
37. | PAKDD09-0442 |
Data Mining for Intrusion Detection: from Outliers to True Intrusions
Florent MASSEGLIA |
38. | PAKDD09-0445 |
A Hybrid Approach to Improve Bilingual Multiword Expression Extraction
Jianyong Duan |
39. | PAKDD09-0459 |
Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-sampling TEchnique for handling the class imbalanced problem
Chumphol Bunkhumpornpat |
40. | PAKDD09-0463 |
An Effective Boosting Mehod for Naive Bayesian Classifiers by Local Accuracy Estimation
Zhipeng Xie |
41. | PAKDD09-0468 |
A Novel Fractal Representation for Dimensionality Reduction of Large Time Series Data
Poat Sajjipanon |
42. | PAKDD09-0472 |
Spanning Tree Based Attribute Clustering
Yifeng Zeng |
43. | PAKDD09-0474 |
An Efficient Candidate Pruning Technique for High Utility Pattern Mining
Chowdhury Farhan Ahmed |
44. | PAKDD09-0489 |
Clustering Data Streams in Optimization and Geography Domains
Wen-Chih Peng |
45. | PAKDD09-0490 |
k-Dominant Skyline Computation by using Sort-Filtering Method
Md. Anisuzzaman Siddique |
46. | PAKDD09-0495 |
Trace Mining from Distributed Assembly Databases for Causal Analysis
Shohei Hido |
47. | PAKDD09-0505 |
Emotion Recognition of Pop Music Based on Maximum Entropy with Priors
Hui He |
48. | PAKDD09-0511 |
The effect of parameter tuning and focusing on bus travel time prediction
Carlos Soares |
49. | PAKDD09-0528 |
Diversity in Combinations of Heterogeneous Classifiers
Kuo-Wei Hsu |
50. | PAKDD09-0529 |
COMUS: Ontological and Rule-based Reasoning for Music Recommendation System
Seungmin Rho |
51. | PAKDD09-0534 |
Learning to Extract Relations for Relational Classification
Steffen Rendle |
52. | PAKDD09-0535 |
An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining
Jaideep Vaidya |
53. | PAKDD09-0537 |
On optimal rules discovery: a framework and a necessary and sufficient condition for optimality
Yannick Le Bras |
54. | PAKDD09-0552 |
Discovering Action Rules that are Highly Achievable from Massive Data
Einoshin Suzuki |
55. | PAKDD09-0557 |
Information Extraction from Thai Text with Unknown Phrase Boundaries
Peerasak I |
56. | PAKDD09-0569 |
Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile?
Elsa Loekito |
57. | PAKDD09-0583 |
Hot Item Detection in Uncertain Data
Matthias Renz |
58. | PAKDD09-0585 |
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
Peer Kröger |
59. | PAKDD09-0592 |
An Online Incremental Learning Vector Quantization
Ye Xu |
60. | PAKDD09-0594 |
Newistic: a distributed news gathering and analysis platform
Horatiu Mocian |
61. | PAKDD09-0608 |
Sparse Kernel Learning and the Relevance Units Machine
Junbin Gao |
62. | PAKDD09-0617 |
Link Structure Ranking Algorithm for Trading Networks
Andri Mirzal |
63. | PAKDD09-0626 |
Estimating Optimal Feature Subsets Using Mutual Information Feature Selector and Rough Sets
Sombut Foitong |
64. | PAKDD09-0628 |
A Multi-Resolution Approach for Atypical Behaviour Mining
Florent MASSEGLIA |
65. | PAKDD09-0634 |
An Instantiation of Hierarchical Distance-based Conceptual Clustering for Propositional Learning
Maria Jose Ramirez-Quintana |
66. | PAKDD09-0637 |
Website Classification using Extended Hidden Markov Models
Majid Yazdani |
67. | PAKDD09-0649 |
Aggregated Subset Mining
Albrecht Zimmermann |
68. | PAKDD09-0661 |
Transfer Learning Action Models by Measuring the Similarity of Different Domains
Hankui Zhuo |
69. | PAKDD09-0670 |
On Mining Rating Dependencies in Online Collaborative Rating Networks
Hady W. Lauw |
70. | PAKDD09-0682 |
Towards a Novel Association Measure via Web Search Results Mining
Xiaojun Wan |
71. | PAKDD09-0687 |
An Aggregate Ensemble for Mining Data Streams with both Concept Drifting and Noise
peng zhang |
72. | PAKDD09-0691 |
CLHQS: Hierarchical Query Suggestion by Mining Clickthrough Log
Depin Chen |
73. | PAKDD09-0695 |
Romanization of Thai Proper Names Based On Popularity Of Usages
Akegapon Tangverapong |
74. | PAKDD09-0704 |
Computing Substitution Matrices for Genomic Comparative Analysis
Minh Duc Cao |