This book constitutes the refereed proceedings of the 4th International Conference on Advanced Data Mining and Applications, ADMA 2008, held in Chengdu, China, in October 2008.

Keynotes.- An Introduction to Transfer Learning.- Autonomy-Oriented Computing (AOC), Self-organized Computability, and Complex Data Mining.- Regular Papers.- Improving Angle Based Mappings.- Mining Natural Language Programming Directives with Class-Oriented Bayesian Networks.- Boosting over Groups and Its Application to Acronym-Expansion Extraction.- A Genetic-Based Feature Construction Method for Data Summarisation.- Suicidal Risk Evaluation Using a Similarity-Based Classifier.- Gene Selection for Cancer Classification Using DCA.- FARS: A Multi-relational Feature and Relation Selection Approach for Efficient Classification.- Enhancing Text Categorization Using Sentence Semantics.- Mining Evolving Web Sessions and Clustering Dynamic Web Documents for Similarity-Aware Web Content Management.- Data Quality in Privacy Preservation for Associative Classification.- Timeline Analysis of Web News Events.- Analysis of Alarm Sequences in a Chemical Plant.- Speed Up SVM Algorithm for Massive Classification Tasks.- Mining Supplemental Frequent Patterns.- A Distributed Privacy-Preserving Association Rules Mining Scheme Using Frequent-Pattern Tree.- Dichotomy Method toward Interactive Testing-Based Fault Localization.- Maintaining the Maximum Normalized Mean and Applications in Data Stream Mining.- Identification of Interface Residues Involved in Protein-Protein Interactions Using Naïve Bayes Classifier.- Negative Generator Border for Effective Pattern Maintenance.- CommTracker: A Core-Based Algorithm of Tracking Community Evolution.- Face Recognition Using Clustering Based Optimal Linear Discriminant Analysis.- A Novel Immune Based Approach for Detection of Windows PE Virus.- Using Genetic Algorithms for Parameter Optimization in Building Predictive Data Mining Models.- Using DataMining Methods to Predict Personally Identifiable Information in Emails.- Iterative Reinforcement Cross-Domain Text Classification.- Extracting Decision Rules from Sigmoid Kernel.- DMGrid: A Data Mining System Based on Grid Computing.- S-SimRank: Combining Content and Link Information to Cluster Papers Effectively and Efficiently.- Open Domain Recommendation: Social Networks and Collaborative Filtering.- An Effective Approach for Identifying Evolving Three-Dimensional Structural Motifs in Protein Folding Data.- Texture Image Retrieval Based on Contourlet Transform and Active Perceptual Similarity Learning.- A Temporal Dominant Relationship Analysis Method.- Leakage-Aware Energy Efficient Scheduling for Fixed-Priority Tasks with Preemption Thresholds.- Short Papers.- Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters.- TARtool: A Temporal Dataset Generator for Market Basket Analysis.- Dimensionality Reduction for Classification.- Trajectories Mining for Traffic Condition Renewing.- Mining Bug Classifier and Debug Strategy Association Rules for Web-Based Applications.- Test the Overall Significance of p-values by Using Joint Tail Probability of Ordered p-values as Test Statistic.- Mining Interesting Infrequent and Frequent Itemsets Based on MLMS Model.- Text Learning and Hierarchical Feature Selection in Webpage Classification.- The RSO Algorithm for Reducing Number of Set Operations in Association Rule Mining.- Predictive Performance of Clustered Feature-Weighting Case-Based Reasoning.- Selecting the Right Features for Bipartite-Based Text Clustering.- Image Emotional Classification Based on Color Semantic Description.- A Semi-supervised Clustering Algorithm Based on Must-Link Set.- T-rotation: Multiple Publications of Privacy PreservingData Sequence.- The Integrated Methodology of KPCA and Wavelet Support Vector Machine for Predicting Financial Distress.- Outlier Detection Based on Voronoi Diagram.- AWSum - Data Mining for Insight.- Integrative Neural Network Approach for Protein Interaction Prediction from Heterogeneous Data.- Rules Extraction Based on Data Summarisation Approach Using DARA.- A Rough-Apriori Technique in Mining Linguistic Association Rules.- Mining Causal Knowledge from Diagnostic Knowledge.- Modified Particle Swarm Optimizer with Adaptive Dynamic Weights for Cancer Combinational Chemotherapy.- MPSQAR: Mining Quantitative Association Rules Preserving Semantics.- Using Support Vector Regression for Classification.- Dynamic Growing Self-organizing Neural Network for Clustering.- A Design of Reward Function Based on Knowledge in Multi-agent Learning.- A Learning Method of Detecting Anomalous Pedestrian.- Moment+: Mining Closed Frequent Itemsets over Data Stream.- CDPM: Finding and Evaluating Community Structure in Social Networks.- Using Matrix Model to Find Association Rule Core for Diverse Compound Critiques.- Link-Contexts for Ranking.- DC-Tree: An Algorithm for Skyline Query on Data Streams.- Sequential Pattern Mining for Protein Function Prediction.- Improving Web Search by Categorization, Clustering, and Personalization.- JSNVA: A Java Straight-Line Drawing Framework for Network Visual Analysis.- Recognition of Data Records in Semi-structured Web-Pages Using Ontology and ? 2 Statistical Distribution.- Organizing Structured Deep Web by Clustering Query Interfaces Link Graph.- CBP: A New Efficient Method for Mining Multilevel and Generalized Frequent Itemsets.- Supporting Customer Retention through Real-Time Monitoring of Individual Web Usage.- A Comparative Study of CorrelationMeasurements for Searching Similar Tags.- Structure of Query Modification Process: Branchings.- Mining Top-n Local Outliers in Constrained Spatial Networks.- Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees.- Automatic Web Tagging and Person Tagging Using Language Models.- Real-Time Person Tracking Based on Data Field.