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

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Cover of '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
Attention for Chapter 68: Ranking Outliers Using Symmetric Neighborhood Relationship
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Citations

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Readers on

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96 Mendeley

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Summary Dimensions citations
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Chapter title
Ranking Outliers Using Symmetric Neighborhood Relationship
Chapter number 68
Book title
Advances in Knowledge Discovery and Data Mining
Published by
Springer, Berlin, Heidelberg, April 2006
DOI 10.1007/11731139_68
Book ISBNs
978-3-54-033206-0, 978-3-54-033207-7
Authors

Wen Jin, Anthony K. H. Tung, Jiawei Han, Wei Wang

View on publisher site

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Turkey 1 1%
Canada 1 1%
Australia 1 1%
Unknown 92 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 28%
Student > Master 22 23%
Researcher 12 13%
Student > Doctoral Student 7 7%
Other 6 6%
Other 12 13%
Unknown 10 10%
Readers by discipline Count As %
Computer Science 54 56%
Engineering 10 10%
Business, Management and Accounting 4 4%
Agricultural and Biological Sciences 3 3%
Materials Science 2 2%
Other 9 9%
Unknown 14 15%

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