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Johannes Fürnkranz, Tobias Scheffer and Myra Spiliopoulou
Front matter
1
On Temporal Evolution in Data Streams
2
The Future of CiteSeer: CiteSeerx
3
Learning to Have Fun
4
Winning the DARPA Grand Challenge
5
Challenges of Urban Sensing
6-17
SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery
18-29
Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics
30-41
Clustering Scientific Literature Using Sparse Citation Graph Analysis
42-54
VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences
55-66
Don’t Be Afraid of Simpler Patterns
67-78
An Adaptive Prequential Learning Framework for Bayesian Network Classifiers
79-90
Adaptive Active Classification of Cell Assay Images
91-102
Learning Parameters in Entity Relationship Graphs from Ranking Preferences
103-114
Detecting Fraudulent Personalities in Networks of Online Auctioneers
115-126
Measuring Constraint-Set Utility for Partitional Clustering Algorithms
127-138
Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering
139-150
Optimal String Mining Under Frequency Constraints
151-162
k-Anonymous Decision Tree Induction
163-174
Closed Sets for Labeled Data
175-186
Finding Trees from Unordered 0–1 Data
187-198
Web Communities Identification from Random Walks
199-210
Information Marginalization on Subgraphs
211-222
Why Does Subsequence Time-Series Clustering Produce Sine Waves?
223-234
Transductive Learning for Text Classification Using Explicit Knowledge Models
235-246
Exploring Multiple Communities with Kernel-Based Link Analysis
247-258
Distribution Rules with Numeric Attributes of Interest
259-271
Tractable Models for Information Diffusion in Social Networks
272-283
Efficient Spatial Classification Using Decoupled Conditional Random Fields
284-296
Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data
297-308
An Attacker’s View of Distance Preserving Maps for Privacy Preserving Data Mining
309-321
A Scalable Distributed Stream Mining System for Highway Traffic Data
322-334
K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality Maintenance
335-346
The Discrete Basis Problem
347-358
Evaluation of Summarization Schemes for Learning in Streams
359-370
Efficient Mining of Correlation Patterns in Spatial Point Data
371-382
Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs
383-394
Refining Aggregate Conditions in Relational Learning
395-406
Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification
407-420
RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings
421-433
Distributed Subgroup Mining
434-445
Network Flow for Collaborative Ranking
446-453
Finding Hierarchies of Subspace Clusters
454-461
Integrating Pattern Mining in Relational Databases
462-469
Discovering Patterns in Real-Valued Time Series
470-477
Classification of Dementia Types from Cognitive Profiles Data
478-486
When Efficient Model Averaging Out-Performs Boosting and Bagging
487-494
Peak-Jumping Frequent Itemset Mining Algorithms
495-502
Autonomous Visualization
503-510
Naive Bayes for Text Classification with Unbalanced Classes
511-519
Knowledge-Conscious Data Clustering
520-527
On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining
528-535
Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles
536-544
Efficient Name Disambiguation for Large-Scale Databases
545-552
Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures
553-560
A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction
561-568
Discovering Image-Text Associations for Cross-Media Web Information Fusion
569-576
Mining Sequences of Temporal Intervals
577-584
Pattern Teams
585-592
Compression Picks Item Sets That Matter
593-600
Discovering Overlapping Communities of Named Entities
601-608
Closed Non-derivable Itemsets
609-616
Learning a Distance Metric for Object Identification Without Human Supervision
617-624
Towards Association Rules with Hidden Variables
625-632
A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry
633-640
Incremental Aspect Models for Mining Document Streams
641-649
Learning Approximate MRFs from Large Transaction Data
650-658
Similarity Search for Multi-dimensional NMR-Spectra of Natural Products
Back matter
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