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Knowledge Discovery in Databases: PKDD 2006 [2006]

1
On Temporal Evolution in Data Streams
2
The Future of CiteSeer: CiteSeer<Superscript> <Emphasis Type="Italic">x</Emphasis> </Superscript>
3
Learning to Have Fun
4
Winning the DARPA Grand Challenge
5
Challenges of Urban Sensing
6
SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery
18
Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics
30
Clustering Scientific Literature Using Sparse Citation Graph Analysis
42
VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences
55
Don’t Be Afraid of Simpler Patterns
67
An Adaptive Prequential Learning Framework for Bayesian Network Classifiers
79
Adaptive Active Classification of Cell Assay Images
91
Learning Parameters in Entity Relationship Graphs from Ranking Preferences
103
Detecting Fraudulent Personalities in Networks of Online Auctioneers
115
Measuring Constraint-Set Utility for Partitional Clustering Algorithms
127
Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering
139
Optimal String Mining Under Frequency Constraints
151
<Emphasis Type="Italic">k</Emphasis>-Anonymous Decision Tree Induction
163
Closed Sets for Labeled Data
175
Finding Trees from Unordered 0–1 Data
187
Web Communities Identification from Random Walks
199
Information Marginalization on Subgraphs
211
Why Does Subsequence Time-Series Clustering Produce Sine Waves?
223
Transductive Learning for Text Classification Using Explicit Knowledge Models
235
Exploring Multiple Communities with Kernel-Based Link Analysis
247
Distribution Rules with Numeric Attributes of Interest
259
Tractable Models for Information Diffusion in Social Networks
272
Efficient Spatial Classification Using Decoupled Conditional Random Fields
284
Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data
297
An Attacker’s View of Distance Preserving Maps for Privacy Preserving Data Mining
309
A Scalable Distributed Stream Mining System for Highway Traffic Data
322
K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality Maintenance
335
The Discrete Basis Problem
347
Evaluation of Summarization Schemes for Learning in Streams
359
Efficient Mining of Correlation Patterns in Spatial Point Data
371
Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs
383
Refining Aggregate Conditions in Relational Learning
395
Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification
407
RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings
421
Distributed Subgroup Mining
434
Network Flow for Collaborative Ranking
446
Finding Hierarchies of Subspace Clusters
454
Integrating Pattern Mining in Relational Databases
462
Discovering Patterns in Real-Valued Time Series
470
Classification of Dementia Types from Cognitive Profiles Data
478
When Efficient Model Averaging Out-Performs Boosting and Bagging
487
Peak-Jumping Frequent Itemset Mining Algorithms
495
Autonomous Visualization
503
Naive Bayes for Text Classification with Unbalanced Classes
511
Knowledge-Conscious Data Clustering
520
On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining
528
Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles
536
Efficient Name Disambiguation for Large-Scale Databases
545
Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures
553
A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction
561
Discovering Image-Text Associations for Cross-Media Web Information Fusion
569
Mining Sequences of Temporal Intervals
577
Pattern Teams
585
Compression Picks Item Sets That Matter
593
Discovering Overlapping Communities of Named Entities
601
Closed Non-derivable Itemsets
609
Learning a Distance Metric for Object Identification Without Human Supervision
617
Towards Association Rules with Hidden Variables
625
A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry
633
Incremental Aspect Models for Mining Document Streams
641
Learning Approximate MRFs from Large Transaction Data
650
Similarity Search for Multi-dimensional NMR-Spectra of Natural Products
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