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This year we received 327 submissions, a 37% increase over PAKDD-04, which is the highest number of submissions since the first PAKDD in 1997. The submitted papers went through a rigorous reviewing process. The Program Committee members were deeply involved in a highly engaging selection process with discussions among reviewers. As a result, the PAKDD-05 Program Committee accepted for publication and oral presentation 49 regular papers and 49 short papers, representing a 29.8% acceptance rate.
REGULAR PAPERS
- 104, A Framework for Incorporating Class Priors into Discriminative Classification, by Rong Jin and Yi Liu
- 109, Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm, by Liping Jing, Michael K. Ng and Jun Xu
- 128, Threshold Tuning for Improved Classification Association Rule Mining, by Frans Coenen, Paul Leng and Lu Zhang
- 131, Increasing Classification Accuracy by Combining Adaptive Sampling and Convex
Pseudo-Data, by Chia Huey Ooi and Madhu Chetty
- 145, WLPMiner: Weighted Frequent Pattern Mining with Length-decreasing support
constraints, by Unil Yun and John Leggett
- 154, Kernels over relational algebra structures, by Adam Woznica, Alexandros Kalousis and Melanie Hilario
- 156, Bayesian Sequence Learning For Predicting Protein Cleavage Points, by Michael Mayo
- 162, Rule Extraction from Trained Support Vector Machines, by Ying Zhang, Hongye Su and Jian Chu
- 171, Gene expression microarray : data mining via weighted prefix trees, by Tran Trang, Nguyen Cam Chi and Hoang Ngoc Minh
- 200, Unifying Signature-based and Anomaly-based Intrusion Detection, by Zhuowei Li and Amitabha Das
- 215, A MPAA-Based Iterative Clustering Algorithm augmented by Nearest Neighbors
Search for Time-Series Data Streams, by Jian-Wei Liu
- 243, Where are the motifs in time-series data, by Zheng Liu, Jeffrey Xu Yu, Xuemin Lin, Hongjun Lu and Wei Wang
- 282, A Kennel Function Method in Clustering, by Ling Zhang, Tao Wu and Yanping Zhang
- 284, An Efficient Framework for Mining Flexible Constraints, by Arnaud Soulet and Bruno Cremilleux
- 285, SETRED: Self-Training with Editing, by Ming Li and Zhi-Hua Zhou
- 291, Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis, by Luo Si and Rong Jin
- 299, Improvements of IncSpan: Incremental Mining of Sequential Patterns in Large
Database, by Son Nguyen, Xingzhi Sun and Maria Orlowska
- 312, Pruning Derivative Partial Rules During Impact Rule Discovery, by Shiying Huang and Geoffrey Webb
- 315, Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data, by Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda and Takashi Washio
- 318, NBC: A Neighborhood-Based Clustering Algorithm, by Shuigeng Zhou, Yue Zhao, Jihong Guan and Joshua Z. Huang
- 321, Using Consensus Susceptibility and Consistency Measures for Inconsistent
Knowledge Management, by Ngoc Thanh Nguyen and Michal Malowiecki
- 325, Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules, by Kazuko Takahashi, Hiroya Takamura and Manabu Okumura
- 327, A DNA Index Structure Using Frequency and Position Information, by Woo-Cheol Kim, Sanghyun Park, Jung-Im Won, Sang-Wook Kim and Jee-Hee
Yoon
- 332, A new informative generic base of association rules, by Ghada Gami, Sadok Ben Yahia, Engelbert Mephu Nguifo and Yahya Slimani
- 343, Support Oriented Discovery of Generalized Disjunction-Free Representation
of Frequent Patterns with Negation, by Marzena Kryszkiewicz and Katarzyna Cichon
- 347, Mining Frequent Trees with Node-Inclusion Constraints, by Atsuyoshi Nakamura
- 351, Retrieval Based on Language Model with Relative Entropy and Feedback, by Hua Huo
- 367, Improved Bayesian Spam Filtering Based on Co-weighted Multi-area Information, by Raju Shrestha and Ya Ping Lin
- 369, Finding Sporadic Rules Using Apriori-Inverse, by Yun Sing Koh and Nathan Rountree
- 372, A Novel Indexing Method for Efficient Sequence Matching in Large DNA Database
Environment, by Junglm Won, Jee-Hee Yoon, Sanghyun Park and Sang-Wook Kim
- 412, Efficient Sampling: Application to Image Data, by Surong Wang, Manoranjan Dash and Liang-Tien Chia
- 432, Extraction of Frequent Few-Overlapped Monotone DNF Formulas with Depth-First
Pruning, by Yoshikazu Shima, Kouichi Hirata and Masateru Harao
- 438, Text Classification for DAG-Structured Categories, by Cao Nguyen, Tran Dung and Tru Cao
- 448, ADenTS: An Adaptive Density-based Tree Structure for Approximating Aggregate Queries over Real Attributes, by Tianyi Wu, Jian Xu, Chen Wang, Wei Wang and Baile Shi
- 461, Sentiment Classification using Word Sub-Sequences and Dependency Sub-Trees, by Shotaro Matsumoto, Hiroya Takamura and Manabu Okumura
- 466, Improving Rough Classifiers Using Concept Ontology, by Sinh Hoa Nguyen and Hung Son Nguyen
- 472, Pushing Tougher Constraints in Frequent Pattern Mining, by Francesco Bonchi and Claudio Lucchese
- 473, An Efficient Compression Technique for Frequent Itemset Generation in Association
Rule Mining, by Mafruz Ashrafi, David Taniar and Kate Smith
- 480, Approximated Clustering of Distributed High-Dimensional Data, by Peter Kunath, Hans-Peter Kriegel, Martin Pfeifle and Matthias Renz
- 483, Speeding-up hierarchical agglomerative clustering in presence of expensive metrics, by Mirco Nanni
- 489, Dynamic Cluster Formation using Level Set Methods, by Andy Yip, Chris Ding and Tony Chan
- 493, Improving Mining Quality by Exploiting Data Dependency, by Fang Chu, Yizhou Wang, Carlo Zaniolo and D.Stott Parker
- 494, A vector field visualization technique for Self-Organizing Maps, by Georg Polzlbauer, Andreas Rauber and Michael Dittenbach
- 508, PatZip: Pattern-Preserved Spatial Data Compression, by Yu Qian, Kang Zhang and D.T.Huynh
- 513, Visualization of Cluster Changes by Comparing Self-Organizing Maps, by Denny and David Squire
- 516, Cluster-based Rough Set Construction, by Qiang Li
- 519, Progressive Sampling for Association Rules based on Sampling Error Estimation, by Ming-Syan Chen, Kun-Ta Chuang and Wen-Chieh Yang
- 529, Computing Cyslic Pattern Kernel for Predictive Graph Mining, by Tamas Horvath
- 533, QED : An Efficient Framework for Temporal Region Query Processing , by Yi-Hong Chu, Kun-Ta Chuang and Ming-Syan Chen
SHORT PAPERS
- 110, Using Term Clustering and Supervised Term Affinity Construction to Boost Text Classification, by Chong Wang and Wenyuan Wang
- 111, Feature Selection for High Dimensional Face Image Using Self-Organizing
Maps, by Xiaoyang Tan, Songcan Chen, Zhi-hua Zhou and Fuyan Zhang
- 113, A likelihood ratio distance measure for the similarity between the fourier
transform of time series, by Anthony Bagnall, Gareth Janacek and Michael Powell
- 130, CLeVer: A Feature Subset Selection Technique for Multivariate Time Series, by Kiyoung Yang, Hyunjin Yoon and Cyrus Shahabi
- 146, The TIMERS II Algorithm for the Discovery of Causality, by Kamran Karimi and Howard Hamilton
- 173, Using Rough Set in Feature Selection and Reduction in Face Recognition
Problem, by Bac Le Hoai and Tuan Nguyen Anh
- 180, Analysis of company growth data using genetic algorithms on binary trees, by Gerrit K. Janssens, Kenneth Sorensen, Arthur Limere and Koen Vanhoof
- 193, Adaptive Nonlinear Auto-associate Modeling through Manifold Learning with Applications for Character and Digit Recognition, by Junping Zhang and Stan Z. Li
- 216, Dynamic Mining Hierarchical Topic from Web News Stream Data using Divisive-Agglomerative
Clustering Method, by Jian-Wei Liu
- 223, Considering Re-occurring Features in Associative Classifiers, by Rafal Rak, Wojciech Stach, Osmar Zaiane and Maria-Luiza Antonie
- 230, Collecting Topic-related Web Pages for Link Structure Analysis by Using a Potential Hub and Authority First Approach, by Leuo-hong Wang and Tong-wen Lee
- 237, A New Evolutionary Neural Network Classifier, by Arit Thammano and Asavin Meengen
- 246, A Privacy-Preserving Classification Mining Algorithm, by Weiping Ge, Wei Wang, Xiaorong Li and Baile Shi
- 259, Maximizing Tree Diversity by Building Complete-Random Decision Trees, by Fei Tony Liu, Kai Ming Ting and Wei Fan
- 260, Conditional Random Fields for Transmembrane Helix Prediction, by Lior Lukov, Sanjay Chawla and W. Bret Church
- 278, A Recent-Biased Technique for Dimension Reduction, by Yanchang Zhao, Chengqi Zhang and Shichao Zhang
- 289, Stochastic local clustering for massive graphs, by Satu Elisa Schaeffer
- 292, Combining Classifiers with Multi-Representation of Context in Word Sense
Disambiguation, by Cuong Anh Le, Van Nam Huynh and Akira Shimazu
- 294, Learning Bayesian Networks Structures from Incomplete Data: An Efficient
Approach Based on Extended Evolutionary Programming, by Li Xiaolin
- 295, Performance Measurements for Privacy Preserving Data Mining, by Nan Zhang, Wei Zhao and Jianer Chen
- 304, Training Support Vector Machines Using Greedy Stagewise Algorithm, by Liefeng Bo, Ling Wang and Licheng Jiao
- 317, Covariance and PCA for Categorical Variables, by Hirotaka Niitsuma and Takashi Okada
- 326, Technology Trends Analysis from the Internet Resources, by Shin-ichi Kobayashi, Yasuyuki Shirai, Kazuo Hiyane, Fumihiro Kumeno,
Hiroshi Inujima and Noriyoshi Yamauchi
- 330, Graph Partition Model for Robust Temporal Data Segmentation, by Yuan Jinhui , Zhang Bo and Lin Fuzong
- 333, A Divide and Conquer approach for deriving partially ordered sub-structures, by Sadok Ben Yahia, Yahya Slimani and Jihen Rezgui
- 334, Accurate Symbolization of Time Series, by Xinqiang Zuo and Xiaoming Jin
- 341, A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering, by Chotirat Ann Ratanamahatana, Eamonn Keogh, Anthony Bagnall and Stefano
Lonardi
- 342, Mining Mobile Group Patterns: A Trajectory-based Approach, by San-Yih Hwang, Ying-Han Liu, Jeng-Kuen Chiu and Ee-Peng Lim
- 345, An Automatic Unsupervised Querying Algorithm for Efficient Information
Extraction in Biomedical Domain, by Min Song, Il-Yeol Song, Xiaohua Hu and Robert Allen
- 373, Voting fuzzy k-NN to predict protein subcellular localization from normalized
amino acid pair compositions, by Quang Tung Thai, Doheon Lee, Dae-Won Kim and Jong-Tae Lim
- 376, Feature Selection Algorithm for Data with Both Nominal and Continuous Features, by Wenyin Tang and Kezhi Mao
- 379, A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets, by Ying Liu, Wei-keng Liao and Alok Choudhary
- 380, Automatic View Selection: An Application to Image Mining, by Manoranjan Dash and Deepak Kolipakkam
- 396, Improved Self-Splitting Competitive Learning Algorithm, by Jun Liu and Rao Kotagiri
- 442, Finding temporal features of event-oriented patterns, by Xingzhi Sun, Maria Orlowska and Xue Li
- 451, Comparison of Tree based methods on mammography data, by Richard De Veaux and Thu Hoang
- 460, A Top-down Algorithm for Web Log Sequential Pattern Mining, by Guo Jian-kui
- 481, Visual Interactive Evolutionary Algorithm for High Dimensional Data Clustering
and Outlier Detection, by Boudjeloud Lydia and Poulet Francois
- 485, On Multiple Query Optimization in Data Mining, by Maciej Zakrzewicz and Marek Wojciechowski
- 488, Mining Time-Profiled Associations, by Jin Soung Yoo, Pusheng Zhang and Shashi Shekhar
- 490, Frequent Itemset Mining with Parallel RDBMS, by Xuequn Shang
- 497, Online Algorithms for Mining Inter-Stream Associations From Large Sensor
Networks, by Kin Kong Loo, Ivy Tong, Ben Kao
- 505, Can We Apply Projection Based Frequent Pattern Mining Paradigm to Spatial
Co-location Mining?, by Yan Huang, Liqin Zhang and Ping Yu
- 506, Mining Frequent Ordered Patterns, by Zhi-Hong Deng, Cong-Rui Ji, Ming Zhang and Shi-Wei Tang
- 507, Automatic Extraction of Low Frequency Bilingual Word Paris from Parallel
Corpora with Various Languages, by Hiroshi Echizen-ya
- 510, An Anomaly Detection Method for Spacecraft using Relevance Vector Learning, by Ryohei Fujimaki, Takehisa Yairi and Kazuo Machida
- 514, An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection, by Jing Gao, Jianzhong Li, Zhaogong Zhang and Pang-Ning Tan
- 524, Kernel principal component analysis for content based image retrieval, by Guang-Ho Cha
- 526, Dynamic Fuzzy Clustering for Recommender Systems, by Sung-Hwan Min
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