This year, 111 papers among the 338 submissions have been accepted (with an acceptance rate of 32.84%).
| Regular papers | Short 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 |
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. | PAKDD09-0400 | Centroid Neural Network with Spatial Constraints Dong-Chul Park |
27. | PAKDD09-0401 | Classification of Audio Signals Using a Bhattacharyya Kernel-based Centroid Neural Network Dong-Chul Park |
28. | PAKDD09-0415 | CBDT: A Concept Based Approach to Data Stream Mining Stefan Hoeglinger |
29. | PAKDD09-0416 | Clustering Documents using a Wikipedia-based Concept Representation Anna Huang |
30. | PAKDD09-0418 | Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis Kam Tong Chan |
31. | PAKDD09-0424 | A Corpus-based Approach for Automatic Thai Unknown Word Recognition using Ensemble Learning Techniques Jakkrit TeCho |
32. | PAKDD09-0431 | Extracting Fuzzy Rules for Detecting Ventricular Arrhythmias Based on NEWFM Sang-Hong Lee |
33. | PAKDD09-0433 | Meaningful Subsequence Matching under Time Warping Distance for Data Stream Vit Niennattrakul |
34. | PAKDD09-0436 | Speeding up Similarity Search on Large Time Series Dataset Under Time Warping Distance Pongsakorn Ruengronghirunya |
35. | PAKDD09-0437 | A Family-based Evolutional Approach for Kernel Tree Selectionin SVMs Ithipan Methasate |
36. | PAKDD09-0442 | Data Mining for Intrusion Detection: from Outliers to True Intrusions Florent MASSEGLIA |
37. | PAKDD09-0445 | A Hybrid Approach to Improve Bilingual Multiword Expression Extraction Jianyong Duan |
38. | PAKDD09-0459 | Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-sampling TEchnique for handling the class imbalanced problem Chumphol Bunkhumpornpat |
39. | PAKDD09-0463 | An Effective Boosting Mehod for Naïve Bayesian Classifiers by Local Accuracy Estimation Zhipeng Xie |
40. | PAKDD09-0468 | A Novel Fractal Representation for Dimensionality Reduction of Large Time Series Data Poat Sajjipanon |
41. | PAKDD09-0472 | Spanning Tree Based Attribute Clustering Yifeng Zeng |
42. | PAKDD09-0474 | An Efficient Candidate Pruning Technique for High Utility Pattern Mining Chowdhury Farhan Ahmed |
43. | PAKDD09-0489 | Clustering Data Streams in Optimization and Geography Domains Wen-Chih Peng |
44. | PAKDD09-0490 | k-Dominant Skyline Computation by using Sort-Filtering Method Md. Anisuzzaman Siddique |
45. | PAKDD09-0495 | Trace Mining from Distributed Assembly Databases for Causal Analysis Shohei Hido |
46. | PAKDD09-0505 | Emotion Recognition of Pop Music Based on Maximum Entropy with Priors Hui He |
47. | PAKDD09-0511 | The effect of parameter tuning and focusing on bus travel time prediction Carlos Soares |
48. | PAKDD09-0528 | Diversity in Combinations of Heterogeneous Classifiers Kuo-Wei Hsu |
49. | PAKDD09-0529 | Music Ontology for Mood and Situation Reasoning to Support Music Retrieval and Recommendation Seung Ro |
50. | PAKDD09-0534 | Learning to Extract Relations for Relational Classification Steffen Rendle |
51. | PAKDD09-0535 | An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining Jaideep Vaidya |
52. | PAKDD09-0537 | On optimal rules discovery: a framework and a necessary and sufficient condition for optimality Yannick Le Bras |
53. | PAKDD09-0552 | Discovering Action Rules that are Highly Achievable from Massive Data Einoshin Suzuki |
54. | PAKDD09-0569 | Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile? Elsa Loekito |
55. | PAKDD09-0583 | Hot Item Detection in Uncertain Data Matthias Renz |
56. | PAKDD09-0585 | Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data Peer Kröger |
57. | PAKDD09-0592 | An Online Incremental Learning Vector Quantization Ye Xu |
58. | PAKDD09-0594 | Newistic: a distributed news gathering and analysis platform Horatiu Mocian |
59. | PAKDD09-0608 | Sparse Kernel Learning and the Relevance Units Machine Junbin Gao |
60. | PAKDD09-0617 | Link Structure Ranking Algorithm for Trading Networks Andri Mirzal |
61. | PAKDD09-0626 | Estimating Optimal Feature Subsets Using Mutual Information Feature Selector and Rough Sets Sombut Foitong |
62. | PAKDD09-0628 | A Multi-Resolution Approach for Atypical Behaviour Mining Florent MASSEGLIA |
63. | PAKDD09-0634 | An Instantiation of Hierarchical Distance-based Conceptual Clustering for Propositional Learning Maria Jose Ramirez-Quintana |
64. | PAKDD09-0637 | Website Classification using Extended Hidden Markov Models Majid Yazdani |
65. | PAKDD09-0649 | Aggregated Subset Mining Albrecht Zimmermann |
66. | PAKDD09-0661 | Transfer Learning Action Models by Measuring the Similarity of Different Domains Hankui Zhuo |
67. | PAKDD09-0670 | On Mining Rating Dependencies in Online Collaborative Rating Networks Hady W. Lauw |
68. | PAKDD09-0682 | Towards a Novel Association Measure via Web Search Results Mining Xiaojun Wan |
69. | PAKDD09-0687 | An Aggregate Ensemble for Mining Data Streams with both Concept Drifting and Noise peng zhang |
70. | PAKDD09-0691 | CLHQS: Hierarchical Query Suggestion by Mining Clickthrough Log Depin Chen |
71. | PAKDD09-0695 | Romanization of Thai Proper Names Based On Popularity Of Usages Akegapon Tangverapong |
72. | PAKDD09-0704 | Computing Substitution Matrices for Genomic Comparative Analysis Minh Duc Cao |