Knowledge Discovery in Databases: PKDD 2006 10th European Conference on Principles and Practice of Knowledge Discovery in Databases Berlin, Germany, September 18-22, 2006 Proceedings /
The two premier annual European conferences in the areas of machine learning anddatamining havebeencollocatedeversincethejointconferenceinFreiburg, Germany,2001. The European Conference on Machine Learning wasestablished 20 years ago, when the ?rst European Working Session on Learning was held in Or...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2006.
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| Σειρά: | Lecture Notes in Computer Science,
4213 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Invited Talks
- On Temporal Evolution in Data Streams
- The Future of CiteSeer: CiteSeerx
- Learning to Have Fun
- Winning the DARPA Grand Challenge
- Challenges of Urban Sensing
- Long Papers
- SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery
- Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics
- Clustering Scientific Literature Using Sparse Citation Graph Analysis
- VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences
- Don’t Be Afraid of Simpler Patterns
- An Adaptive Prequential Learning Framework for Bayesian Network Classifiers
- Adaptive Active Classification of Cell Assay Images
- Learning Parameters in Entity Relationship Graphs from Ranking Preferences
- Detecting Fraudulent Personalities in Networks of Online Auctioneers
- Measuring Constraint-Set Utility for Partitional Clustering Algorithms
- Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering
- Optimal String Mining Under Frequency Constraints
- k-Anonymous Decision Tree Induction
- Closed Sets for Labeled Data
- Finding Trees from Unordered 0–1 Data
- Web Communities Identification from Random Walks
- Information Marginalization on Subgraphs
- Why Does Subsequence Time-Series Clustering Produce Sine Waves?
- Transductive Learning for Text Classification Using Explicit Knowledge Models
- Exploring Multiple Communities with Kernel-Based Link Analysis
- Distribution Rules with Numeric Attributes of Interest
- Tractable Models for Information Diffusion in Social Networks
- Efficient Spatial Classification Using Decoupled Conditional Random Fields
- Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data
- An Attacker’s View of Distance Preserving Maps for Privacy Preserving Data Mining
- A Scalable Distributed Stream Mining System for Highway Traffic Data
- K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality Maintenance
- The Discrete Basis Problem
- Evaluation of Summarization Schemes for Learning in Streams
- Efficient Mining of Correlation Patterns in Spatial Point Data
- Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs
- Refining Aggregate Conditions in Relational Learning
- Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification
- RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings
- Distributed Subgroup Mining
- Network Flow for Collaborative Ranking
- Short Papers
- Finding Hierarchies of Subspace Clusters
- Integrating Pattern Mining in Relational Databases
- Discovering Patterns in Real-Valued Time Series
- Classification of Dementia Types from Cognitive Profiles Data
- When Efficient Model Averaging Out-Performs Boosting and Bagging
- Peak-Jumping Frequent Itemset Mining Algorithms
- Autonomous Visualization
- Naive Bayes for Text Classification with Unbalanced Classes
- Knowledge-Conscious Data Clustering
- On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining
- Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles
- Efficient Name Disambiguation for Large-Scale Databases
- Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures
- A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction
- Discovering Image-Text Associations for Cross-Media Web Information Fusion
- Mining Sequences of Temporal Intervals
- Pattern Teams
- Compression Picks Item Sets That Matter
- Discovering Overlapping Communities of Named Entities
- Closed Non-derivable Itemsets
- Learning a Distance Metric for Object Identification Without Human Supervision
- Towards Association Rules with Hidden Variables
- A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry
- Incremental Aspect Models for Mining Document Streams
- Learning Approximate MRFs from Large Transaction Data
- Similarity Search for Multi-dimensional NMR-Spectra of Natural Products.
