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Knowledge Discovery in Databases: PKDD 2006

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 On Temporal Evolution in Data Streams
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    Chapter 2 The Future of CiteSeer: CiteSeer x
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    Chapter 3 Learning to Have Fun
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    Chapter 4 Winning the DARPA Grand Challenge
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    Chapter 5 Challenges of Urban Sensing
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    Chapter 6 SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery
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    Chapter 7 Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics
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    Chapter 8 Clustering Scientific Literature Using Sparse Citation Graph Analysis
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    Chapter 9 VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences
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    Chapter 10 Don’t Be Afraid of Simpler Patterns
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    Chapter 11 An Adaptive Prequential Learning Framework for Bayesian Network Classifiers
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    Chapter 12 Adaptive Active Classification of Cell Assay Images
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    Chapter 13 Learning Parameters in Entity Relationship Graphs from Ranking Preferences
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    Chapter 14 Detecting Fraudulent Personalities in Networks of Online Auctioneers
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    Chapter 15 Measuring Constraint-Set Utility for Partitional Clustering Algorithms
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    Chapter 16 Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering
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    Chapter 17 Optimal String Mining Under Frequency Constraints
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    Chapter 18 k -Anonymous Decision Tree Induction
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    Chapter 19 Closed Sets for Labeled Data
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    Chapter 20 Finding Trees from Unordered 0–1 Data
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    Chapter 21 Web Communities Identification from Random Walks
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    Chapter 22 Information Marginalization on Subgraphs
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    Chapter 23 Why Does Subsequence Time-Series Clustering Produce Sine Waves?
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    Chapter 24 Knowledge Discovery in Databases: PKDD 2006
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    Chapter 25 Exploring Multiple Communities with Kernel-Based Link Analysis
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    Chapter 26 Distribution Rules with Numeric Attributes of Interest
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    Chapter 27 Tractable Models for Information Diffusion in Social Networks
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    Chapter 28 Efficient Spatial Classification Using Decoupled Conditional Random Fields
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    Chapter 29 Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data
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    Chapter 30 An Attacker’s View of Distance Preserving Maps for Privacy Preserving Data Mining
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    Chapter 31 A Scalable Distributed Stream Mining System for Highway Traffic Data
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    Chapter 32 K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality Maintenance
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    Chapter 33 The Discrete Basis Problem
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    Chapter 34 Evaluation of Summarization Schemes for Learning in Streams
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    Chapter 35 Efficient Mining of Correlation Patterns in Spatial Point Data
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    Chapter 36 Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs
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    Chapter 37 Refining Aggregate Conditions in Relational Learning
  39. Altmetric Badge
    Chapter 38 Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification
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    Chapter 39 RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings
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    Chapter 40 Distributed Subgroup Mining
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    Chapter 41 Network Flow for Collaborative Ranking
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    Chapter 42 Finding Hierarchies of Subspace Clusters
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    Chapter 43 Integrating Pattern Mining in Relational Databases
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    Chapter 44 Discovering Patterns in Real-Valued Time Series
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    Chapter 45 Classification of Dementia Types from Cognitive Profiles Data
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    Chapter 46 When Efficient Model Averaging Out-Performs Boosting and Bagging
  48. Altmetric Badge
    Chapter 47 Peak-Jumping Frequent Itemset Mining Algorithms
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    Chapter 48 Autonomous Visualization
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    Chapter 49 Knowledge Discovery in Databases: PKDD 2006
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    Chapter 50 Knowledge-Conscious Data Clustering
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    Chapter 51 On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining
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    Chapter 52 Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles
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    Chapter 53 Efficient Name Disambiguation for Large-Scale Databases
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    Chapter 54 Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures
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    Chapter 55 A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction
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    Chapter 56 Discovering Image-Text Associations for Cross-Media Web Information Fusion
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    Chapter 57 Mining Sequences of Temporal Intervals
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    Chapter 58 Pattern Teams
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    Chapter 59 Compression Picks Item Sets That Matter
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    Chapter 60 Discovering Overlapping Communities of Named Entities
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    Chapter 61 Closed Non-derivable Itemsets
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    Chapter 62 Learning a Distance Metric for Object Identification Without Human Supervision
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    Chapter 63 Towards Association Rules with Hidden Variables
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    Chapter 64 A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry
  66. Altmetric Badge
    Chapter 65 Incremental Aspect Models for Mining Document Streams
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    Chapter 66 Learning Approximate MRFs from Large Transaction Data
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    Chapter 67 Similarity Search for Multi-dimensional NMR-Spectra of Natural Products
Attention for Chapter 42: Finding Hierarchies of Subspace Clusters
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