Knowledge Discovery in Databases : PKDD 2006 : 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 : proceedings
著者
書誌事項
Knowledge Discovery in Databases : PKDD 2006 : 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 : proceedings
（Lecture notes in computer science, 4213 . Lecture notes in artificial intelligence）
Springer, c2006
- タイトル別名
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Knowledge Discovery in Databases : PKDD 2006 : 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 2006, proceedings
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006.
The book presents 36 revised full papers and 26 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers offer a wealth of new results in knowledge discovery in databases and address all current issues in the area.
目次
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.
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