Advances in knowledge discovery and data mining : 10th Pacific-Asia conference, PAKDD 2006, Singapore, April 9-12, 2006 : proceedings

Table of Contents

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   Book Overview
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   Chapter 1 Protection or Privacy? Data Mining and Personal Data
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   Chapter 2 The Changing Face of Web Search
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   Chapter 3 Data Mining for Surveillance Applications
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   Chapter 4 A Multiclass Classification Method Based on Output Design
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   Chapter 5 Regularized Semi-supervised Classification on Manifold
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   Chapter 6 Similarity-Based Sparse Feature Extraction Using Local Manifold Learning
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   Chapter 7 Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees
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   Chapter 8 RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification
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    Chapter 9 TRIPPER: Rule Learning Using Taxonomies
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    Chapter 10 Using Weighted Nearest Neighbor to Benefit from Unlabeled Data
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    Chapter 11 Constructive Meta-level Feature Selection Method Based on Method Repositories
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    Chapter 12 Variable Randomness in Decision Tree Ensembles
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    Chapter 13 Further Improving Emerging Pattern Based Classifiers Via Bagging
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    Chapter 14 Improving on Bagging with Input Smearing
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    Chapter 15 Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles
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    Chapter 16 DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking
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    Chapter 17 Iterative Clustering Analysis for Grouping Missing Data in Gene Expression Profiles
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    Chapter 18 An EM-Approach for Clustering Multi-Instance Objects
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    Chapter 19 Mining Maximal Correlated Member Clusters in High Dimensional Database
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    Chapter 20 Hierarchical Clustering Based on Mathematical Optimization
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    Chapter 21 Clustering Multi-represented Objects Using Combination Trees
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    Chapter 22 Parallel Density-Based Clustering of Complex Objects
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    Chapter 23 Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering
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    Chapter 24 Uncertain Data Mining: An Example in Clustering Location Data
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    Chapter 25 Parallel Randomized Support Vector Machine
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    Chapter 26 ε -Tube Based Pattern Selection for Support Vector Machines
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    Chapter 27 Self-adaptive Two-Phase Support Vector Clustering for Multi-Relational Data Mining
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    Chapter 28 One-Class Support Vector Machines for Recommendation Tasks
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    Chapter 29 Heterogeneous Information Integration in Hierarchical Text Classification
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    Chapter 30 Advances in Knowledge Discovery and Data Mining
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    Chapter 31 Dynamic Category Profiling for Text Filtering and Classification
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    Chapter 32 Detecting Citation Types Using Finite-State Machines
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    Chapter 33 A Systematic Study of Parameter Correlations in Large Scale Duplicate Document Detection
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    Chapter 34 Comparison of Documents Classification Techniques to Classify Medical Reports
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    Chapter 35 XCLS: A Fast and Effective Clustering Algorithm for Heterogenous XML Documents
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    Chapter 36 Clustering Large Collection of Biomedical Literature Based on Ontology-Enriched Bipartite Graph Representation and Mutual Refinement Strategy
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    Chapter 37 Level-Biased Statistics in the Hierarchical Structure of the Web
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    Chapter 38 Cleopatra : Evolutionary Pattern-Based Clustering of Web Usage Data
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    Chapter 39 Extracting and Summarizing Hot Item Features Across Different Auction Web Sites
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    Chapter 40 Clustering Web Sessions by Levels of Page Similarity
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    Chapter 41 i Wed : An Integrated Multigraph Cut-Based Approach for Detecting Events from a Website
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    Chapter 42 Enhancing Duplicate Collection Detection Through Replica Boundary Discovery
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    Chapter 43 Summarization and Visualization of Communication Patterns in a Large-Scale Social Network
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    Chapter 44 Patterns of Influence in a Recommendation Network
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    Chapter 45 Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction
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    Chapter 46 Combining Smooth Graphs with Semi-supervised Classification
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    Chapter 47 Network Data Mining: Discovering Patterns of Interaction Between Attributes
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    Chapter 48 SGPM: Static Group Pattern Mining Using Apriori-Like Sliding Window
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    Chapter 49 Mining Temporal Indirect Associations
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    Chapter 50 Mining Top-K Frequent Closed Itemsets Is Not in APX
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    Chapter 51 Quality-Aware Association Rule Mining
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    Chapter 52 Advances in Knowledge Discovery and Data Mining
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    Chapter 53 Maintaining Frequent Itemsets over High-Speed Data Streams
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    Chapter 54 Generalized Disjunction-Free Representation of Frequents Patterns with at Most k Negations
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    Chapter 55 Mining Interesting Imperfectly Sporadic Rules
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    Chapter 56 Improved Negative-Border Online Mining Approaches
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    Chapter 57 Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement
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    Chapter 58 Is Frequency Enough for Decision Makers to Make Decisions?
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    Chapter 59 Ramp : High Performance Frequent Itemset Mining with Efficient Bit-Vector Projection Technique
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    Chapter 60 Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices
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    Chapter 61 Scoring Method for Tumor Prediction from Microarray Data Using an Evolutionary Fuzzy Classifier
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    Chapter 62 Efficient Discovery of Structural Motifs from Protein Sequences with Combination of Flexible Intra- and Inter-block Gap Constraints
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    Chapter 63 Finding Consensus Patterns in Very Scarce Biosequence Samples from Their Minimal Multiple Generalizations
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    Chapter 64 Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints
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    Chapter 65 Mining Quantitative Maximal Hyperclique Patterns: A Summary of Results
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    Chapter 66 A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data
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    Chapter 67 A Fast Greedy Algorithm for Outlier Mining
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    Chapter 68 Ranking Outliers Using Symmetric Neighborhood Relationship
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    Chapter 69 Construction of Finite Automata for Intrusion Detection from System Call Sequences by Genetic Algorithms
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    Chapter 70 An Adaptive Intrusion Detection Algorithm Based on Clustering and Kernel-Method
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    Chapter 71 Weighted Intra-transactional Rule Mining for Database Intrusion Detection
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    Chapter 72 On Robust and Effective K-Anonymity in Large Databases
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    Chapter 73 Achieving Private Recommendations Using Randomized Response Techniques
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    Chapter 74 Privacy-Preserving SVM Classification on Vertically Partitioned Data
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    Chapter 75 Data Mining Using Relational Database Management Systems
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    Chapter 76 Bias-Free Hypothesis Evaluation in Multirelational Domains
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    Chapter 77 Enhanced DB-Subdue: Supporting Subtle Aspects of Graph Mining Using a Relational Approach
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    Chapter 78 Multimedia Semantics Integration Using Linguistic Model
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    Chapter 79 A Novel Indexing Approach for Efficient and Fast Similarity Search of Captured Motions
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    Chapter 80 Mining Frequent Spatial Patterns in Image Databases
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    Chapter 81 Image Classification Via LZ78 Based String Kernel: A Comparative Study
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    Chapter 82 Distributed Pattern Discovery in Multiple Streams
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    Chapter 83 COMET: Event-Driven Clustering over Multiple Evolving Streams
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    Chapter 84 Variable Support Mining of Frequent Itemsets over Data Streams Using Synopsis Vectors
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    Chapter 85 Hardware Enhanced Mining for Association Rules
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    Chapter 86 A Single Index Approach for Time-Series Subsequence Matching That Supports Moving Average Transform of Arbitrary Order
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    Chapter 87 Efficient Mining of Emerging Events in a Dynamic Spatiotemporal Environment
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    Chapter 88 A Multi-Hierarchical Representation for Similarity Measurement of Time Series
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    Chapter 89 Multistep-Ahead Time Series Prediction
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    Chapter 90 Sequential Pattern Mining with Time Intervals
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    Chapter 91 A Wavelet Analysis Based Data Processing for Time Series of Data Mining Predicting
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    Chapter 92 Intelligent Particle Swarm Optimization in Multi-objective Problems
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    Chapter 93 Hidden Space Principal Component Analysis
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    Chapter 94 Neighbor Line-Based Locally Linear Embedding
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    Chapter 95 Predicting Rare Extreme Values
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    Chapter 96 Domain-Driven Actionable Knowledge Discovery in the Real World
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    Chapter 97 Evaluation of Attribute-Aware Recommender System Algorithms on Data with Varying Characteristics
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    Chapter 98 An Intelligent System Based on Kernel Methods for Crop Yield Prediction
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     Chapter 99 A Machine Learning Application for Human Resource Data Mining Problem
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     Chapter 100 Towards Automated Design of Large-Scale Circuits by Combining Evolutionary Design with Data Mining
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     Chapter 101 Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases