Advances in knowledge discovery and data mining 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005 : proceedings / Tu Bao Ho, David Cheung, Huan Liu (eds.).

Includes bibliographical references and index.

Keynote Speech and Invited Talks
Machine Learning for Analyzing Human Brain Function
Tom Mitchell.
Subgroup Discovery Techniques and Applications
Nada Lavrac..
IT Development in the 21®' Century and Its Implications
Unna Huh...
Theoretic Foundations
Data Mining of Gene Expression Microarray via Weighted Prefix Trees
Tran Trang, Nguyen Cam Chi. Hoang Ngoc Minh.
Automatic Extraction of Low Frequency Bilingual Word Paris from Parallel
Corpora with Various Languages
Hiroshi Echizen-ya, Kenji Araki, Yoshio Mornouchi.
A Kennel Function Method in Clustering
Ling Zhang, Tao Wu, Yanping Zhang.
Performance Measurements for Privacy Preserving Data Mining
Nan Zhang, Wei Zhao, Jianer Chen
Extraction of Frequent Few-Overlapped Monotone DNF Formulas
with Depth-First Pruning
Yoshikazu Shima, Kouichi Hirata, Masateru Harao..
Association Rules
Rule Extraction fi-om Trained Support Vector Machines
Ying Zhang, HongYe Su, Tao Jia, Man Chu.
Pruning Derivative Partial Rules During Impact Rule Discovery
Shiying Huang, Geoffrey 1. Webb..
IGB: A New Informative Generic Base of Association Rules
Oh. Gasmi, S. Ben Yahia, E. Mephu Nguifo, Y. Slimani.
A Divide and Conquer Approach for Deriving Partially Ordered
Sub-structures
Sadok Ben Yahia, Yahya Slimani, Jihen Rezgui
Finding Sporadic Rules Using Apriori'-Inverse
Yim Sing Koh, Nathan Rountree...
Automatic View Selection; An Application to Image Mining
Manoranjan Dash, Deepak Kolippakkam..
Pushing Tougher Constraints in Frequent Pattern Mining
Francesco Bonchi, Claudia Lucchese. .
An Efficient Compression Technique for Frequent Itemset Generation
in Association Rule Mining
Mafruz Zaman Ashrafi, David Taniar, Kate Smith...
Mining Time-Profiled Associations: An Extended Abstact
Jin Soung Yoo, Pusheng Zhang, Shashi Shekhar...
Online Algorithms for Mining Inter-stream Associations fi'om Large
Sensor Neworks
K. K. Loo, Ivy Tong, Ben Kao
Mining Frequent Ordered Patterns
Zhi-Hong Deng, Cong-Rui Ji, Ming Zhang, and Shi-Wei Tang..
Biomedical Domains
Conditional Random Fields for Transmembrane Helix Prediction
LiorLukov, Sanjay Chawla, W. Bret Church....
A DNA Index Structure Using Frequency and Position Information
of Genetic Alphabet
Woo-Cheol Kim, Sanghyun Park, Jung-Im Won, Sang-Wook Kim,
Jee-Hee Yoon
An Automatic Unsupervised Querying Algorithm for Efficient Information
Extraction in Biomedical Domain
Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Allen .
Voting Fuzzy k-NN to Predict Protein Subcellular Localization from
Normalized Amino Acid Pair Compositions
Thai Quang Tung, Doheon Lee, Dae-Won Kim, Jong-Tae Lim...
Comparison of Tree Based Methods on Mammography Data
Richard De Veaux, Thu Hodng .
Bayesian Sequence Learning for Predicting Protein Oldavage'Points
Michael Mayo
A Novel Indexing Method for Efficient Sequence Matchingdn Large DNA
Database Environment
Jung-Im Won, Jee-Hee Yoon, Sanghyun Park, Sang-^-Wooh.Klm.
Classification and Ranking
Threshold Tuning for Improved Classification Association Rule Mining
Frans Coenen, Paul Leng, Lu Zhang ..
Using Rough Set in Feature Selection and Reduction in Face
Recognition Problem
Le Hoai Bac, Nguyen Anh Tuan
Analysis of Company Growth Data Using Genetic Algorithms on
Binary Trees
Gerrit K. Janssens, Kenneth Sorensen, Arthur Limkre, Koen Vanhoof,
Considering Re-occurring Features in Associative Classifiers
RafalRak, Wojciech Stach, OsmarR. ZaXane, Maria-Luiza Antonie..
A New Evolutionary Neural Network Classifier
Arit Thammano, Asavin Meengen .
A Privacy-Preserving Classification Mining Algorithm
Weiping Ge, Wei Wang, Xiaorong Li, Baile Shi.
Combining Classifiers with Multi-representation of Context
in Word Sense Disambiguation
Cuong Anh Le, Va-Nam Huynh, Akira Shimazu...
Automatic Occupation Coding with Combination of Machine Learning
and Hand-Crafted Rules
Kazuko Takahashi, Hiroya Takamura, Manabu Okumura
Retrieval Based on Language Model with Relative Entropy and Feedback
Hua Huo, Boqin Feng ...
Text Classification for DAG-Structured Categories
Cao D. Nguyen, Tran A. Dung, Tru H. Cao...
Sentiment Classification Using Word Sub-sequences
and Dependency Sub-trees
Shotaro Matsumoto, Hiroya Takamura, Manabu Okumura.
Improving Rough Classifiers Using Concept Ontology
Nguyen Sink Hoa, Nguyen Hung Son.
QED; An Efficient Framework for Temporal Region Query Processing
Yi'Hong Chu, Kun-Ta Chuang, Ming-Syan Chen.
Clustering
A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest
Neighbors Search for Time-Series Data Streams
Jessica Lin, Michai Vlachos, Eamonn Keogh, Dimitrios Gunopulos,
Jianwei Liu, Shoujian Yu, Jiajin Le..
Locating Motifs in Time-Series Data
Zheng Liu, Jeffrey Xu Yu, Xuemin Lin, Hongjun Lu, Wei Wang
Stochastic Local Clustering for Massive Graphs
Satu Elisa Schaeffer..
A Neighborhood-Based Clustering Algorithm
Shuigeng Zhou, Yue Zhao, Jihong Guan, Joshua Huang
Improved Self-splitting Competitive Learning Algorithm
Jun Liu, Kotagiri Ramamohanarao
Speeding-Up Hierarchical Agglomerative Clustering in Presence
of Expensive Metrics
Mirco Nanni
Dynamic Cluster Formation Using Level Set Methods
Andy M. Yip, Chris Ding, Tony F. Chan..
A Vector Field Visualization Technique for Self-organizing Maps
Georg Pdlzlbauer, Andreas Rauber, Michael Dittenbach .
Visualization of Cluster Changes by Comparing Self-organizing Maps
Denny McG. Squrie, David McG. Squire.
An Incremental Data Stream Clustering Algorithm Based
on Dense Units Detection
Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan
Visual Interactive Evolutionary Algorithm for High Dimensional Data
Clustering and Outlier Detection
Lydia Boudjeloud, Frangois Poulet
Approximated Clustering of Distributed High-Dimensional Data
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, Matthias Renz.
Dynamic Data Mining
Improvements of IncSpan: Incremental Mining of Sequential Patterns
in Large Database
Son N. Nguyen, Xingzhi Sun, Maria E. Orlowska ...
Efficient Sampling: Application to Image Data
Surong Wang, Manoranjan Dash, Liang-Tien Chia...
Cluster-Based Rough Set Construction
Qiang Li, Bo Zhang
Graphic Model Discovery
Learning Bayesian Networks Structures firom Incomplete Data:
An Efficient Approach Based on Extended Evolutionary Programming
Xiaolin Li, Xiangdong He, Senmiao Yuan...
Dynamic Fuzzy Clustering for Recommender Systems
Sung-Hwan Min, Ingoo Han..
Improving Mining Quality by Exploiting Data Dependency
Fang Chu, Yizhou Wang, Carlo Zaniolo, D. Stott Parker
High Dimensional Data
Feature Selection for High Dimensional Face Image Using
Self-organizing Maps
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang..
Progressive Sampling for Association Rules Based on
Sampling Error Estimation
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang..
CLeVer: A Feature Subset Selection Technique for Multivariate Time Series
Kiyoung Yang, Hyunjin Yoon, Cyrus Shahabi....
Covariance and PC A for Categorical Variables
Hirotaka Niitsuma, Takashi Okada ....
Integration of Data Warehonsing
ADenTS: An Adaptive Density-Based Tree Structure for Approxiinating
Aggregate Queries over Real Attributes
Ticmyi Wu, Jian Xu, Chen Wang, Wei Wang, Baile Shi
Frequent Itemset Mining with Parallel RDBMS
Xuequn Shang, Kai-Uwe Battler
Knowledge Management
Using Consensus Susceptibility and Consistency Measures
for Inconsistent Knowl^ge Management
Ngoc Thank Nguyen, Michal Malowiecki
WLPMiner: Weighted Frequent Pattern Mining with Length-Decreasing
Support Constraints
Vnil Yun, John J. Leggett
Machine Learning Methods
A Framework for Incorporating Gass Priors into Discriminative
Gassification
Rang Jin, Yiliu
Increasing Gassification Accuracy by Combining Adaptive Sampling
and Convex Pseudo-Data
Chia Huey Ooi, Madhu Chetty
Kernels over Relational Algebra Structures
Adam Woznica, Alexandras Kalousis, Melanie Hilario
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
Junping Zhang, Stan Z Li
Maximizing Tree Diversity by Building Complete-Random Decision Trees
Fei Tony Liu, Kai Ming Ting, Wei Fan
SETRED: Self-training with Editing
Ming LA, Zhi-Hua Zhou
Adjusting Mixture Weights of Gaussian Mixture Model via
Regularized Probabilistic Latent Semantic Analysis
Imo Si, Rang Jin
Training Support Vector Machines Using Greedy Stagewise Algorithm
Liefeng Bo, Ling Wang, Licheng Jiao
CI-GBI: A Novel Approach for Extracting Typical Patterns
from Graph-Structured Data
Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio
Improved Bayesian Spam Filtering Based on Co-weighted
Multi-area Information
Raju Shrestha, Yaping Lin
Novel Algorithms
An Efficient Framework for Mining Flexible Constraints
Amaud Soulet, Bruno Cremilleux
Support Oriented Discovery of Generalized Disjunction-Free
Representation of Frequent Patterns with Negation
Marzena Kryszkiewicz, Katarzyna Cichon
Feature Selection Algorithm for Data with Both Nominal
and Continuous Features
Wenyin Tang, Kezhi Mao
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
Ying Liu, Wei-keng Liao, Alok Choudhary
On Multiple Query Optimization in Data Mining
Marek Wojciechowski, Maciej Zakrzewicz
USAID: Unifying Signature-Based and Anomaly-Based Intrusion Detection
Zhuowei Li, Amitabha Das, Jianying Zhou
Spatial Data
Mining Mobile Group Patterns: A Trajectory-Based Approach
San-Yih Hwang, Ying-Han Liu, Jeng-Kuen Chiu, Ee-Peng Lim
Can We Apply Projection Based Frequent Pattern Mining Paradigm
to Spatial Co-location Mining?
Yan Huang, Liqin Zhang, Ping Yu
PatZip: Pattern-Preserved Spatial Data Compression
Yu Qian, Kang Zhang, D. T. Huynh
Temporal Data
A likelihood Ratio Distance Measure for the Similarity Between
the Fourier Transform of Time Series
Gareth J. Janacek, Anthony J. Bagnall, Michael Powell
The TIMERS 11 Algorithm for the Discovery of Causality
Howard J. Hamilton, Kamran Karimi
A Recent-Based Dimension Reduction Technique for Time Series Data
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
Graph Partition Model for Robust Temporal Data Segmentation
Jinhui Yuan, Bo Zhang, Fuzong lin
Accurate Symbolization of Time Series
Xinqiang Zuo, Xiaoming Jin
A Novel Bit Level Time Series Representation with Implication
of Similarity Search and Clustering
Chotirat Ratanamahatana, Eamonn Keogh, Anthony J, Bagnall,
Strfano Lonardi
Finding Temporal Features of Event-Oriented Patterns
Xmgzhi Sun, Maria E. Orlowska, Xue Li.
An Anomaly Detection Method for Spacecraft Using Relevance
Vector Learning
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
Cyclic Pattern Kernels Revisited
TamdsHorvdth ;
Text and Web Data Mining
Subspace Clustering of Text Documents with Feature Weighting
K-Means Algorithm
Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang
Using Term Clustering and Supervised Term Affinity Construction
to Boost Text Classification
Chong Wang, Wenyuan Wang
Technology Trends Analysis fi:om the Internet Resources
Shin-ichi Kobayashi, Yasuyukx Shirai, Kazuo Hiyane, Fumihiro Kumeno,
Hiroshi Inujima, Noriyoshi Yamauchi
Dynamic Mining Hierarchical Topic from Web News Stream Data
Using Divisive-Agglomerative Clustering Method
Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le
Collecting Topic-Related Web Pages for Link Structure Analysis
by Using a Potential Hub and Authority First Approach
Leuo-Hong Wang, Tong-Wen Lee
A Top-Down Algorithm for Mining Web Access Patterns from Web Logs
Jian-Kui Guo, Bet-jun Ruan, Zun-ping Cheng, Fang-zhong Su,
Ya-qin Wang, Xu-bin Deng, Shang Ning, Yang-Yong Zhu
Kernel Principal Component Analysis for Content Based Image Retrieval
Guang-Ho Cha
Mining Frequent Trees with Node-Inclusion Constraints
Atsuyoshi Nakamura, Mineichi Kudo