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Advances in knowledge discovery and data mining : 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 : proceedings

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Cover of 'Advances in knowledge discovery and data mining : 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 : proceedings'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Graph Mining: Laws, Generators and Tools
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    Chapter 2 Efficient Algorithms for Mining Frequent and Closed Patterns from Semi-structured Data
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    Chapter 3 Supporting Creativity: Towards Associative Discovery of New Insights
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    Chapter 4 Cost-Sensitive Classifier Evaluation Using Cost Curves
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    Chapter 5 Prospective Scientific Methodology in Knowledge Society
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    Chapter 6 SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters
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    Chapter 7 Mining Quality-Aware Subspace Clusters
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    Chapter 8 A Decremental Approach for Mining Frequent Itemsets from Uncertain Data
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    Chapter 9 Multi-class Named Entity Recognition Via Bootstrapping with Dependency Tree-Based Patterns
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    Chapter 10 Towards Region Discovery in Spatial Datasets
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    Chapter 11 Accurate and Efficient Retrieval of Multimedia Time Series Data Under Uniform Scaling and Time Warping
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    Chapter 12 Feature Construction Based on Closedness Properties Is Not That Simple
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    Chapter 13 On Addressing Accuracy Concerns in Privacy Preserving Association Rule Mining
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    Chapter 14 Privacy-Preserving Linear Fisher Discriminant Analysis
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    Chapter 15 Unsupervised Change Analysis Using Supervised Learning
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    Chapter 16 ANEMI: An Adaptive Neighborhood Expectation-Maximization Algorithm with Spatial Augmented Initialization
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    Chapter 17 Minimum Variance Associations — Discovering Relationships in Numerical Data
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    Chapter 18 An Efficient Unordered Tree Kernel and Its Application to Glycan Classification
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    Chapter 19 Generation of Globally Relevant Continuous Features for Classification
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    Chapter 20 Mining Bulletin Board Systems Using Community Generation
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    Chapter 21 Extreme Support Vector Machine Classifier
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    Chapter 22 LCM over ZBDDs: Fast Generation of Very Large-Scale Frequent Itemsets Using a Compact Graph-Based Representation
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    Chapter 23 Unusual Pattern Detection in High Dimensions
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    Chapter 24 Person Name Disambiguation in Web Pages Using Social Network, Compound Words and Latent Topics
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    Chapter 25 Mining Correlated Subgraphs in Graph Databases
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    Chapter 26 A Minimal Description Length Scheme for Polynomial Regression
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    Chapter 27 Handling Numeric Attributes in Hoeffding Trees
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    Chapter 28 Scaling Record Linkage to Non-uniform Distributed Class Sizes
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    Chapter 29 Large-Scale k-Means Clustering with User-Centric Privacy Preservation
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    Chapter 30 Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction
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    Chapter 31 An Efficient Algorithm for Finding Similar Short Substrings from Large Scale String Data
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    Chapter 32 Ambiguous Frequent Itemset Mining and Polynomial Delay Enumeration
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    Chapter 33 Characteristic-Based Descriptors for Motion Sequence Recognition
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    Chapter 34 Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining
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    Chapter 35 SEM: Mining Spatial Events from the Web
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    Chapter 36 BOAI: Fast Alternating Decision Tree Induction Based on Bottom-Up Evaluation
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    Chapter 37 Feature Selection by Nonparametric Bayes Error Minimization
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    Chapter 38 A Framework for Modeling Positive Class Expansion with Single Snapshot
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    Chapter 39 A Decomposition Algorithm for Learning Bayesian Network Structures from Data
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    Chapter 40 Learning Classification Rules for Multiple Target Attributes
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    Chapter 41 A Mixture Model for Expert Finding
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    Chapter 42 On Privacy in Time Series Data Mining
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    Chapter 43 Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning
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    Chapter 44 On Discrete Data Clustering
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    Chapter 45 Automatic Training Example Selection for Scalable Unsupervised Record Linkage
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    Chapter 46 Analyzing PETs on Imbalanced Datasets When Training and Testing Class Distributions Differ
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    Chapter 47 Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs
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    Chapter 48 Exploratory Hot Spot Profile Analysis Using Interactive Visual Drill-Down Self-Organizing Maps
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    Chapter 49 Maintaining Optimal Multi-way Splits for Numerical Attributes in Data Streams
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    Chapter 50 Efficient Mining of High Utility Itemsets from Large Datasets
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    Chapter 51 Tradeoff Analysis of Different Markov Blanket Local Learning Approaches
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    Chapter 52 Forecasting Urban Air Pollution Using HMM-Fuzzy Model
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    Chapter 53 Relational Pattern Mining Based on Equivalent Classes of Properties Extracted from Samples
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    Chapter 54 Evaluating Standard Techniques for Implicit Diversity
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    Chapter 55 A Simple Characterization on Serially Constructible Episodes
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    Chapter 56 Bootstrap Based Pattern Selection for Support Vector Regression
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    Chapter 57 Tracking Topic Evolution in On-Line Postings: 2006 IBM Innovation Jam Data
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    Chapter 58 PAID: Packet Analysis for Anomaly Intrusion Detection
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    Chapter 59 A Comparison of Different Off-Centered Entropies to Deal with Class Imbalance for Decision Trees
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    Chapter 60 FIsViz: A Frequent Itemset Visualizer
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    Chapter 61 A Tree-Based Approach for Frequent Pattern Mining from Uncertain Data
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    Chapter 62 Connectivity Based Stream Clustering Using Localised Density Exemplars
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    Chapter 63 Learning User Purchase Intent from User-Centric Data
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    Chapter 64 Query Expansion for the Language Modelling Framework Using the Naïve Bayes Assumption
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    Chapter 65 Fast Online Estimation of the Joint Probability Distribution
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    Chapter 66 Fast k Most Similar Neighbor Classifier for Mixed Data Based on Approximating and Eliminating
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    Chapter 67 Entity Network Prediction Using Multitype Topic Models
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    Chapter 68 Using Supervised and Unsupervised Techniques to Determine Groups of Patients with Different Doctor-Patient Stability
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    Chapter 69 Local Projection in Jumping Emerging Patterns Discovery in Transaction Databases
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    Chapter 70 Applying Latent Semantic Indexing in Frequent Itemset Mining for Document Relation Discovery
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    Chapter 71 G-TREACLE: A New Grid-Based and Tree-Alike Pattern Clustering Technique for Large Databases
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    Chapter 72 A Clustering-Oriented Star Coordinate Translation Method for Reliable Clustering Parameterization
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    Chapter 73 Constrained Clustering for Gene Expression Data Mining
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    Chapter 74 Concept Lattice–Based Mutation Control for Reactive Motifs Discovery
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    Chapter 75 Mining a Complete Set of Both Positive and Negative Association Rules from Large Databases
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    Chapter 76 Designing a System for a Process Parameter Determined through Modified PSO and Fuzzy Neural Network
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    Chapter 77 Data-Aware Clustering Hierarchy for Wireless Sensor Networks
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    Chapter 78 A More Topologically Stable Locally Linear Embedding Algorithm Based on R*-Tree
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    Chapter 79 Sparse Kernel-Based Feature Weighting
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    Chapter 80 Term Committee Based Event Identification within News Topics
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    Chapter 81 Locally Linear Online Mapping for Mining Low-Dimensional Data Manifolds
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    Chapter 82 A Creditable Subspace Labeling Method Based on D-S Evidence Theory
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    Chapter 83 Discovering New Orders of the Chemical Elements through Genetic Algorithms
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    Chapter 84 What Is Frequent in a Single Graph?
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    Chapter 85 A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports
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    Chapter 86 A Selective Classifier for Incomplete Data
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    Chapter 87 Detecting Near-Duplicates in Large-Scale Short Text Databases
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    Chapter 88 Customer Churn Time Prediction in Mobile Telecommunication Industry Using Ordinal Regression
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    Chapter 89 Rule Extraction with Rough-Fuzzy Hybridization Method
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    Chapter 90 I/O Scalable Bregman Co-clustering
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    Chapter 91 Jumping Emerging Patterns with Occurrence Count in Image Classification
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    Chapter 92 Mining Non-coincidental Rules without a User Defined Support Threshold
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    Chapter 93 Transaction Clustering Using a Seeds Based Approach
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    Chapter 94 Using Ontology-Based User Preferences to Aggregate Rank Lists in Web Search
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    Chapter 95 The Application of Echo State Network in Stock Data Mining
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    Chapter 96 Text Categorization of Multilingual Web Pages in Specific Domain
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    Chapter 97 Efficient Joint Clustering Algorithms in Optimization and Geography Domains
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    Chapter 98 Active Learning with Misclassification Sampling Using Diverse Ensembles Enhanced by Unlabeled Instances
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    Chapter 99 A New Model for Image Annotation
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    Chapter 100 Unmixed Spectrum Clustering for Template Composition in Lung Sound Classification
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    Chapter 101 Forward Semi-supervised Feature Selection
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    Chapter 102 Automatic Extraction of Basis Expressions That Indicate Economic Trends
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    Chapter 103 A New Framework for Taxonomy Discovery from Text
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    Chapter 104 R-Map: Mapping Categorical Data for Clustering and Visualization Based on Reference Sets
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    Chapter 105 Mining Changes in Patent Trends for Competitive Intelligence
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    Chapter 106 Seeing Several Stars: A Rating Inference Task for a Document Containing Several Evaluation Criteria
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    Chapter 107 Structure-Based Hierarchical Transformations for Interactive Visual Exploration of Social Networks
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    Chapter 108 CP-Tree: A Tree Structure for Single-Pass Frequent Pattern Mining
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    Chapter 109 Combining Context and Existing Knowledge When Recognizing Biological Entities – Early Results
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    Chapter 110 Semantic Video Annotation by Mining Association Patterns from Visual and Speech Features
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    Chapter 111 Cell-Based Outlier Detection Algorithm: A Fast Outlier Detection Algorithm for Large Datasets
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    Chapter 112 Fighting WebSpam: Detecting Spam on the Graph Via Content and Link Features
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    Chapter 113 A Framework for Discovering Spatio-temporal Cohesive Networks
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    Chapter 114 Efficient Mining of Minimal Distinguishing Subgraph Patterns from Graph Databases
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    Chapter 115 Combined Association Rule Mining
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    Chapter 116 Enriching WordNet with Folksonomies
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    Chapter 117 A New Credit Scoring Method Based on Rough Sets and Decision Tree
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    Chapter 118 Analyzing the Propagation of Influence and Concept Evolution in Enterprise Social Networks through Centrality and Latent Semantic Analysis
Overall attention for this book and its chapters
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Mentioned by

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Title
Advances in knowledge discovery and data mining : 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 : proceedings
Published by
Springer, January 2008
DOI 10.1007/978-3-540-68125-0
ISBNs
978-3-54-068124-3, 978-3-54-068125-0
Authors

Washio, Takashi

Editors

Washio, Takashi, Suzuki, Einoshin, Ting, Kai Ming, Inokuchi, Akihiro

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 10%
Student > Bachelor 1 10%
Other 1 10%
Unknown 7 70%
Readers by discipline Count As %
Computer Science 2 20%
Unknown 8 80%